Quantitative Research & Trading

Quantitative Research & Trading

Selby Jennings: A Specialist Quantitative Research & Trading recruiter in Singapore

Selby Jennings is a leading specialist talent partner for financial sciences & services. Our global Quants team provides permanent, contract, and multi-hire talent solutions in Singapore.

For nearly 20 years, financial firms and professionals have benefited from our extensive experience and global network.vFrom streamlining processes and upskilling workforces, to staying cutting edge by employing flexible working models, we advise enterprise leaders on when to strike and how. We also provide expert insight into Quantitative Research & Trading salaries in Singapore, and assist them through their career moves.

Winning ‘Best Executive Search – Quant’, by HFM Award 2021, we are committed to helping our clients secure top Quants talent.

If you're interested in securing exceptional Quantitative talent in Singapore, request a call back today. If you're a Quants professional on a mission for Quantitative Research jobs, the Selby Jennings global Quants team delivers exceptional recruitment to industry-leading firms, from global investment banks, boutique hedge funds, and management consultancies, to software providers, and everything in between. Submit your CV/resume today and one of our talent consultants will get back to you if a role fits your profile.

If you are a candidate, please Register your CV and get discovered for all relevant roles.

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​If you are a client looking to source the best talent in Singapore, please Register Your Vacancy or Request a Call back.


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Benefits of working with Selby Jennings

We are a specialist talent/recruitment partner. Among the many benefits of working with Selby Jennings Quantitative Research & Trading team located in Singapore:

Experience

We have nearly 20 years of experience as a leading recruiter in financial sciences & services.

​Network

A vast, global network of the best, in-demand professionals, working with the world’s largest financial institutions to innovative fintech start-ups and beyond.​

​Knowledge

Our award-winning talent specialists offer bespoke, tailored guidance on the latest hiring trends and industry news to help you achieve your goals.

At Selby Jennings, we believe in fostering long-term partnerships based on trust, integrity, and mutual success. We strive to provide personalized solutions tailored to your specific requirements, offering flexible options to accommodate your Quantitative Research & Trading hiring preferences. Whether you need to fill critical positions quickly or are seeking strategic talent acquisition solutions, we have the resources and expertise to deliver results. Submit your vacancy to us today.

Take the first step towards overcoming your talent shortage today by completing the form. Our team looks forward to speaking with you to explore how we can partner with your organization to meet your Quantitative Research & Trading recruitment needs in Singapore efficiently and effectively.

Quantitative Research & Trading Jobs

HFT Quantitative Portfolio Manager

We are seeking an experienced HFT Quantitative Portfolio Manager to join an exciting start-up, which has been founded by ex-Tower and ex-AlphaGrep professionals. This is an excellent opportunity for someone who has live strategies in the HFT space and is looking to work with a team of highly experienced professionals. Responsibilities: * Develop and manage HFT quantitative trading strategies * Collaborate with cross-functional teams to develop and implement trading strategies * Monitor and analyze market trends and trading data to identify opportunities * Manage risk and ensure compliance with regulatory requirements Skills: * Solid experience of HFT and algorithmic trading, live strategies preferred. * Excellent communication and interpersonal skills * Ability to work in a fast-paced environment Additional Information: * This position can be remote * This is a start-up with a large AUM * Salary will be competitive based on experience

Negotiable
Hong Kong
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Quantitative Developer

One of the world's leading hedge funds are looking for experienced quant developers to work directly with a renowned PM. This PM has been with the firm for 13 years and built their infrastructure for quant trading from the ground up. The PM is now seeing a quant developer to join his team and assist with working on a number of critical projects. This is a great opportunity to learn directly from a highly successful PM and be part of an extremely talented team of developers, researchers and traders. Responsibilities: Collaborate with Quant Researchers to implement data pipeline using cutting edge technologies Engage in development of order execution stack. Portfolio construction and optimization solutions Develop and manage critical task scheduling work in Airflow for daily signal generation, portfolio optimization, and order submission and monitoring. Work on developing end-to-end research, backtesting, and trading platform tools. Requirements: A STEM degree from a world-leading university. Expertise in Python programming, familiarity with C++ would be bonus Experience working on trading infrastructure at either a hedge fund or leading investment bank Excellent Communication skills and ability to work collaboratively as well individual

Bonus
New York
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Quantitative Developer - Equity Volatility

I am currently working directly alongside a successful Equity PM team within a $35BN AUM Hedge Fund in New York that is urgently looking for a Quantitative Developers across Equity Vol and Vol Arbitrage to assist in building out key models, tools, libraries, and infrastructure for med-frequency equity trading, research, and strategy development. They are looking for exceptionally strong Quantitative Developers with a high level of fluency in Python and experience working alongside an Equity Vol desk or PM building out business critical tools, models, and helping within strategy implementation. This an amazing opportunity to join a highly competitive and technical buyside team within the Equities space! Key Responsibilities: Partner closely with the PM and Researchers to develop business critical models and analytical tools to support med-frequency equities trading within Python Collaborate with the PM directly to assist within strategy development and implementation Develop and maintain core infrastructure, data pipelines, and libraries that are core drivers of the entirety of the investment process Key Qualifications: High level of fluency in Python and strong programming ability in SQL 2+ years of industry experience working and supporting an Equity Derivatives or Volatility desk or PM team. Advanced degree (Masters or Ph.D.) in a quantitative field (e.g., mathematics, finance, economics, physics, computer science) Excellent communication skills to be able to express understanding of tools and databases to researchers and traders

US$300000 - US$400000 per year
New York
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Junior HFT

We have a current opportunity for a proprietary trading frim on a permanent basis. The position will be based in Shanghai, but have the opportunity to relocate to the U.S. office as well. For further information about this position please apply. Responsibilities develop and optimise machine learning model perform statistical analysis of full cycle trading work closely with PM on strategy conduction Qualifications gained masters or above degree from top universities in mathematical major previous intern or full time working experiences in quantitative finance

Negotiable
Shanghai
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Equity Stat Arb, Senior Quantitative Researcher/Sub-PM

A global macro hedge fund is looking to build-out their equity stat arb book and is looking to on-board Senior QRs/Sub-PMs with experience in either equity stat arb strategies, futures, or index re-balance/arbitrage. The Portfolio Manager has an incredibly impressive background, and is seeking QRs with with intraday/mid-frequency holding periods with a focus on specific geographic regions. Initial hires l be given Senior QR or Sub-PM titles depending on overall autonomy in managing their investment research process, as well as previous work. This opportunity will allow you to be a founding member of what will be a global team, and will initially start with infrastructure development, but will transition to research, development, and trading of systematic investment signals across asset classes, geographies, and time horizons. Job Responsibilities: Research, develop and participate in all aspects of systematic trading Support the enactment of systematic strategies Collaborate with the PM to review production performance quality Qualifications: Bachelors, Master, or PhD in computer science, mathematics, physics, statistics, or a related field - advanced degree is preferred At least three years of experience in developing and implementing systematic trading models - exposure to intraday and daily statistical arbitrage equity/futures strategies is preferred Strong Python programming skills Expertise with TCA modeling Experience applying advanced statistical learning algorithms

US$300000 - US$900000 per year
New York
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Quantitative Researcher - Systematic Fixed Income

I am currently working with a $5BN AUM Hedge Fund in New York that is actively looking for Senior Quantitative Researchers within the Systematic Fixed Income and broader Macro space as they just recently hired a new PM from a competitor who is looking to build out a new team focusing on systematic Global Macro. They are looking for exceptionally strong Systematic Fixed Income and Macro Researchers that will play a pivotal role in assisting in the building out a new from scratch, and to assist the PM in developing the foundational strategies, alpha models, and tools for the team through collaboration on alpha and signal generation across the entirety of the research process. This role offers an exciting opportunity for those who to join a growing and extremely competitive buyside firm under a PM with a successful track record on a small team where you will be able to clearly see the impact of your contributions and have more ownership over your work! Key Responsibilities: Collaborate with the PM to generate forecasting ideas, conduct statistical analysis, and generate alpha signals for the implementation systematic strategies across Interest Rates, Mortgages, Credit, Volatility, etc. Apply statistical methods to develop foundational models and analytical tools, as well as conduct work on portfolio optimization and backtesting strategies Qualifications: Advanced degree (Masters or Ph.D.) in a quantitative field (e.g., mathematics, finance, economics, physics, computer science) 3+ years of experience developing and implementing systematic trading models or generating alpha for systematic Fixed Income or Macro strategies Strong knowledge of statistics and programming skills in Python and experience within Matlab and VBA area a plus

US$300000 - US$600000 per year
New York
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Senior Equity Stat Arb Quant Researcher

A newly onboarded Systematic Equity PM at a $30bbn Hedge Fund is in the midst of building out a team focused on global equity stat arb strategies. The PM comes from an incredibly impressive background and is in discussions with a number of mid to senior level QRs and Sub-PMs who can work on end-to-end strategy development within the team. They are ideally seeking QRs with specializations in specific geographic regions with intraday/mid-frequency holding periods. People brought into the group will be given Senior QR or Sub-PM titles depending on previous work and overall autonomy in managing their investment research process. This is the first time this hedge fund is expanding into single name equities and this role gives a unique opportunity to become a founding member within this area of the business. You will have access to top-tier research/trading infrastructure to improve performance of your strategies, dozens of datasets for alpha signal generation and the opportunity to receive a PnL split for the strategies you product. The ideal candidate will have: 4+ years experience working on equity stat arb strategies (buyside strongly preferred) Expertise in specific geographic market (EU, APAC, US preferred) Experience in portfolio construction/optimization and risk management preferred Strong Python skillset Ability to work on end-to-end strategies in an autonomous fashion

US$200001 - US$800000 per year
New York
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Quantitative Developer - Core Team

We are seeking a highly skilled and motivated Quantitative Researcher & Developer to join our dynamic team. You will play a crucial role in developing and maintaining high-performance trading systems, with a focus on low-latency strategies. The ideal candidate will have a strong background in quantitative finance, extensive experience as a researcher & developer in financial institutions, and proficiency in C++ programming. Responsibilities: Algorithmic Trading Development: Design, implement, and optimize algorithmic trading strategies with a specific emphasis on low-latency execution. Collaborate with quantitative researchers and traders to understand and implement trading strategies effectively. Software Development: Develop and maintain high-performance trading systems using C++. Optimize code for low-latency and high-throughput requirements. Ensure code quality, reliability, and maintainability. System Architecture: Contribute to the design and architecture of low-latency systems to support high-frequency trading. Work closely with infrastructure teams to enhance the overall performance and reliability of the trading platform. Quantitative Analysis: Utilize quantitative skills to analyze market data, assess model performance, and enhance trading strategies. Implement risk management tools and protocols to ensure robustness in various market conditions. Collaboration and Communication: Work collaboratively with cross-functional teams, including quantitative researchers, traders, and IT professionals. Communicate effectively to convey complex technical concepts to non-technical stakeholders. Research and Development: Stay abreast of industry trends, technological advancements, and quantitative finance research. Contribute to the research and development of new trading strategies and technologies. Qualifications: Master's in a quantitative field such as Computer Science, Mathematics, Physics, or Finance. Proven experience as a Quantitative Developer in a financial institution or hedge fund. Expertise in C++ programming language, particularly in low-latency and high-throughput systems. Strong understanding of algorithmic trading strategies and financial markets. Familiarity with trading infrastructure, exchange connectivity, and market data feeds. Excellent problem-solving skills and attention to detail. Ability to work in a fast-paced, dynamic environment.

US$150000 - US$250000 per year + Bonus
New York
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Data Software Engineer

A leading Quantitative Trading firm is looking to hire exceptional Data Software Engineers. The firm develops systematic investment strategies, enabled by a leading-edge research and development platform. Currently, they have approximately 70 employees and manage assets of approximately $500 million. They have offices in New York, Chicago, and London. The current founder was the Partner and Senior Managing Director at a top Market Maker for 13+ years. They want to build a world class, quantitative trading company from ground up, hence they have no true legacy code, so everything is being built out from scratch. In this role, you will work alongside top talent to develop cutting-edge data platform and application working closely with the Quant Researchers and Traders. You will contribute to building sophisticated systems that enable data-driven investment strategies. As they plan to expand into new markets and open offices globally, you will have the opportunity to shape the future of quantitative trading. Qualifications: To excel in this role, we are looking for candidates with the following qualifications: 5+ years of strong background in a Data Engineering with expertise in Python Experience in building data-driven systems, platform, application, ETL pipeline. Experience working closely with Machine Larning Researche or Data Scientist (if previous exprience is from non-finance/tech). Understanding of Reserach Workflows such as NLP or MLOPs

US$200000 - US$250000 per year + $300,000 - 500,000 total compensation
New York
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Software Engineer (C++)

Selby Jennings are partnering with a leading High-Frequency Trading Firm (equities, futures) with offices in NYC and they are looking to bring on a C++ developer to one of their trading teams. Responsibilities Full software life cycle development Trading strategy execution, risk management, trade reporting, market data feed processing Collaboration with traders, researchers, & developers Support of mission critical production systems Qualifications 4-5+ years of experience with C++ and low latency Bachelor's Degree or Masters Degree in Computer Science - strong computer science fundamentals, knowledge of algorithms, data structures, distributed systems, etc. Experience working in high frequency trading and/or a financial firm - or a specific interest getting into this industry.

US$250000 - US$500000 per year + Bonus
New York
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SR. Quantitative Researcher - Equity Stat Arb

Introduction: We have partnered with a prestigious global hedge fund that is expanding their systematic trading business. A veteran and titan in the industry is looking to bring on an experienced Quantitative Researcher with a background in researching and trading systematic equity stat arb strategies. This going to be the funds largest stat arb equity build out and an excellent opportunity to get in at the ground floor of a brand new team. If you're interested in working alongside some of the most talented individuals in industry, apply now! Qualifications: - At least 3+ years of experience in developing and implementing systematic trading models (i.e., equity stat arb) - PhD or MS in a quantitative discipline from a top tier university (Mathematics/Statistics/Physics/CS/etc.) - Must be coming from a reputable trading desk or pod at a buy-side fund, prop trading firm, or investment bank - Highly proficient in python

US$150000 - US$250000 per year + Bonus / PnL Split
New York
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Futures MFT Trader

Role: Futures Mid-Frequency Trader Location: Amsterdam Salary: Competitive and candidate dependent A global, multi-billion euro, prop trading firm is seeking an experienced quantitative trader to join their expanding mid-frequency futures trading desk in Amsterdam. If you are looking for an intellectually challenging and highly rewarding role in the heart of European finance then please do not hesitate to apply. The Candidate: Fluent in English. MSc or PhD in a quant-related field e.g. mathematics, physics, statistics/econometrics, computer science. Experience working at a top proprietary trading firm, quantitative hedge fund, or bank. 3+ years' experience in the futures space with a proven track record of achieving a Sharpe Ratio above 2.5 and alpha/signal generation. Experience using R, Python, and C++ (on Linux). The ideal candidate has experience creating and managing their own strategies while being able to contribute in a team environment. The Role: Implementing non-latency sensitive strategies from a few seconds/minutes up to 2 weeks holding periods. Large preference for intraday strategies, ideally around 30 mins. Possibility to operate either as an independent 'sub-PM'-type role or as part of a highly collaborative team wherein the hire will contribute ideas for new strategies as well as optimize the team's existing strategies.

Negotiable
Amsterdam
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Quantitative Research & Trading News & Insights

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Key Insights into the Quants Market in APAC

The quants market in the Asia-Pacific (APAC) region is undergoing dynamic changes, and industry experts are sharing valuable insights gathered from events like QuantMinds. Matthew Tjoa, Head of Quants and Tech at Selby Jennings Singapore, recently attended the QuantMinds 2023 event in London to discuss the trends and challenges shaping the APAC quants landscape. ​Here are some of Matthew's key takeaways from the event, and his advice for companies looking to hire the best talent in quants:Market Resilience in the Face of ChangeHow does the quant space respond to new market regimes, and what is the outlook despite global uncertainties?Despite challenges faced by some major players, the quant finance space remains largely independent of market shifts, and is showing resilience and growth. Larger hedge funds and prop shops are diversifying into new frequencies, strategies, and asset classes, indicating ambitious growth plans for 2024.AI and Machine Learning IntegrationWhat were the main discussions at QuantMinds regarding the implementation of AI and ML in quant research?Discussions at QuantMinds focused on integrating AI and ML into quant processes. While the impact is expected to be substantial, industry experts agree it will take time to significantly affect the sector. Quality data sets are deemed crucial.Hiring Outlook and Regional ConsistencyWhat can hiring managers anticipate in terms of opportunities in 2024?The consensus is that demand for quants will stay high in the coming year. Hiring managers can expect increased opportunities in 2024, with optimism from the sell side. Technical skillsets are being consistently prioritized and are highly sought after, especially in areas like modelling and machine learning. Additionally, the ability to communicate complex ideas to non-technical stakeholders is crucial. Interestingly, these desired skills and qualities in candidates are largely consistent across regions.Hotspots for Quants HiringIn which areas and geographical locations is there a pronounced demand for quants talent?Geographical hotspots for quants talent include London, Amsterdam, Singapore, Hong Kong, Dubai, and Abu Dhabi, particularly for roles in modeling, research, statistical arbitrage, and machine learning. Challenges in Hiring and Candidate PreferencesWhat are the significant challenges companies face when hiring quants talent?One of the major challenges is a lack of understanding of candidate preferences. Failing to comprehend candidates' desires for a conducive working environment, competitive compensation, challenging problem sets, flexibility, or stability can all hinder successful hiring.Candidate Priorities and Decision-Making FactorsWhat factors are critical for quants professionals seeking new roles?Quants professionals most often prioritize compensation, autonomy, and the freedom to explore new ideas. Mid-junior candidates, in particular, are attracted to roles offering optionality in job scope and internal opportunities.Advice for CompaniesWhat is your advice for companies looking to hire quants talent?Companies should utilize their talent partner to attract and secure the most in-demand talent. In a candidate-starved market, talent partners can offer invaluable insights into candidates' motivations and provide guidane on your salary and total compensation packages, reducing the likelihood of missed opportunities and ensuring a more informed hiring process.​If you are seeking additional insights around the APAC Quantitative Analytics, Research & Trading market, please request a call back, and Matthew's team will get in touch with you. Request a call BACKIf you are exploring the next opportunity in Quantitative Analytics, Research & Trading, submit your CV today.

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Revolutionizing Quantitative Research and Trading: The AI Advantage in Financial Sciences

The Importance of AI in Quantitative Research & Trading​Artificial Intelligence (AI) has emerged as a transformative force in the field of quantitative research and trading, revolutionizing the way financial data is analyzed and investment decisions are made. The integration of AI technologies brings about a paradigm shift, offering unparalleled advantages to professionals in the Financial Sciences & Services sector. ​In quantitative research and trading, the significance of AI lies in its ability to swiftly process vast datasets, providing traders and researchers with the capacity to make informed decisions at unprecedented speeds. The utilization of AI facilitates faster data analysis, enabling traders to digest large volumes of information quickly and make intelligent, data-driven choices. This acceleration in decision-making can be a critical factor in the highly dynamic and competitive landscape of financial markets. ​Artificial Intelligence (AI) and Machine Learning (ML) in Quantitative Research​At the core of AI's impact on quantitative research is Machine Learning (ML), a subset of AI that enables systems to learn and improve from experience. In quantitative research, ML algorithms play a crucial role in data analysis and pattern recognition. These algorithms can uncover intricate market trends, providing insights that might elude traditional analytical approaches. The integration of AI and ML in quantitative research enhances prediction models, contributing to more accurate forecasts of market trends and behaviors. ​Big Data and Data Analytics​The marriage of AI with Big Data has redefined the landscape of quantitative research and trading. AI's ability to handle massive datasets in real-time allows for a more comprehensive analysis of market conditions. Through advanced data analytics, AI can identify subtle patterns and anomalies that may be crucial for making strategic investment decisions. The synergy between AI and Big Data empowers professionals in financial sciences and financial services to extract actionable insights from the ever-expanding sea of financial information. ​Natural Language Processing (NLP)​Natural Language Processing (NLP) is a key component of AI that plays a pivotal role in quantitative research. By analyzing and understanding human language, NLP enables AI systems to process vast amounts of unstructured data from sources such as news articles and social media. In the realm of quantitative research and trading, NLP contributes to sentiment analysis, helping traders gauge market perception and make decisions based on the collective sentiment of investors. ​Blockchain and Decentralized Finance (DeFi)​The integration of AI with blockchain technology is reshaping quantitative research and trading, particularly in the era of Decentralized Finance (DeFi). Blockchain ensures transparency and security in financial transactions, and AI enhances the analysis of blockchain data. This combination is particularly relevant in the evolving landscape of DeFi, where decentralized platforms and smart contracts are becoming integral parts of financial systems. ​Interdisciplinary CollaborationAI's impact on quantitative research goes beyond technology; it fosters interdisciplinary collaboration. The collaboration between AI experts, data scientists, and financial professionals leads to innovative approaches in understanding and navigating financial markets. This interdisciplinary synergy results in the development of sophisticated algorithms and models that enhance the precision and efficiency of quantitative research and trading strategies. ​Why Choose Us?​When navigating the transformative landscape of AI in quantitative research and trading, choosing the right talent partner is paramount. Selby Jennings, with 20 years of experience as a trusted talent partner in financial sciences & services, stands as a beacon of expertise in identifying and delivering business-critical talent. Our commitment to staying at the forefront of industry trends and providing bespoke guidance ensures that our clients gain a competitive edge in recruiting the brightest minds in the evolving landscape of quantitative research and trading. Partner with us, and let our award-winning talent recruiting specialists guide you toward success in the era of AI-driven financial sciences.If you are looking to hire talent in this space, please request a call back, and our team will be in touch with you. Request a call backIf you are a professional in this space, submit your CV and start the next part of your career journey with Selby Jennings.Submit CV

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APAC Quantitative Analytics, Research & Trading Salary Guide

Elevate Your Success in Singapore's Thriving Finance LandscapeSelby Jennings presents the APAC Quantitative Analytics, Research & Trading Salary Guide, your indispensable tool for benchmarking your team and yourself in Singapore's flourishing Quants sector. As Asia's finance industry continues to thrive, market leaders and investment funds are converging on both Mainland China and Singapore. This convergence has sparked an insatiable demand for top-tier Quantitative Analytics, Research & Trading professionals, driving compensation packages up.In today's ever-evolving economic climate, Quantitative Analytics, Research & Trading experts play a pivotal role in shaping winning strategies. Their value skyrockets, especially in riskier markets, fueling the aggressive hiring of Quant professionals across Asia.To excel in this fiercely competitive arena, businesses must fine-tune their hiring processes, empower their workforce with advanced skills, and maintain flexibility to attract and retain top talent. Quant professionals should consistently benchmark their salaries against industry standards to ensure they remain at the forefront of their field.

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Southeast Asia Salary Guide 2023

​Stay Ahead in Southeast AsiaDiscover the 2023 Salary Guide for Hiring and Job HuntingDetermine what you should be paying your employees, or how much you could be earning.Stay ahead of the competition with valuable insights into salary trends, bonus structures, and compensation benchmarks across various roles and sectors within the Southeast Asia region. Our comprehensive 2023 Salary Guide is specifically tailored to provide you with the information you need for successful hiring and job hunting in Southeast Asia.Whether you're a professional seeking to understand your remuneration better or an employer looking to attract and retain top talent, our salary guide is your essential resource. With in-depth analysis and up-to-date data, you can make informed decisions that maximize your financial success.Our latest salary guide covers the following sectors:​Investment BankingInvestment ManagementWealth ManagementQuantitative Analytics, Research & TradingRisk ManagementFinancial TechnologySales & Trading

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Surging Demand for Quantitative Roles in the APAC

The Asia-Pacific (APAC) region, home to a diverse mix of economies from China and Japan to India and Australia, has seen a significant surge in demand for Quantitative roles over the past decade. This trend is indicative of the region's mounting appetite for advanced data analytics and algorithm-driven decision-making strategies.Quantitative roles, or "Quant roles," employ a comprehensive array of mathematical and statistical methodologies to interpret complex financial and economic patterns. The application of these skills extends across a range of sectors such as finance, technology, and e-commerce, amongst others.Quant Roles: An IntroductionQuant roles typically involve the application of advanced mathematical and statistical techniques to solve complex problems. This could include creating models to predict economic trends, valuing financial derivatives, creating algorithms for high-frequency trading, and many more diverse applications.The application of these roles is particularly prominent in the financial sector. In Investment Banking, for instance, 'Quant Analysts' or 'Quants' are often sought after for their ability to analyze and interpret complex financial data, create risk models, and use quantitative algorithms to advise on investment strategies.Why the Sudden Surge in Demand?1. Digital Transformation:APAC's aggressive digital transformation agenda is a critical driving factor behind the rising demand for Quant roles. Companies are rapidly adopting data-driven decision-making strategies, which require skilled professionals who can analyze, interpret, and derive insights from complex datasets. In effect, this has increased the need for Quants who can leverage their skills in statistics, machine learning, and data analysis.2. FinTech Revolution:The FinTech revolution in APAC is another significant contributor to the burgeoning demand. The complexity and scale of financial markets in economies like China, India, Japan, and Australia require sophisticated models for risk management, derivatives pricing, and algorithmic trading, thereby expanding the role of Quants.3. AI and Machine Learning Boom:The APAC region has shown a remarkable appetite for adopting AI and machine learning technologies. These fields inherently rely on quantitative analysis, further driving demand for professionals with strong quantitative skills.Challenges and OpportunitiesWhile the demand for Quant roles is escalating, the supply of such professionals is lagging. This mismatch between the increasing demand and the lagging supply of professionals in Quantitative roles results in a significant talent gap in the market. Numerous industry reports and academic studies have pointed out this trend, emphasizing the urgent need to bridge this gap. The shortage of professionals in these roles not only presents challenges but also underlines the opportunities available for aspiring individuals in the APAC region, further emphasizing the importance of addressing this talent crunch.However, this scenario presents significant opportunities. The talent gap can motivate academic institutions and industries to work collaboratively in nurturing and upskilling talent to fulfil this burgeoning demand. There is also a rising trend in the APAC region for professionals to pivot into Quant roles by upskilling through specialized courses and degrees in data science, statistics, and financial engineering.Looking to hire?The expanding demand for Quantitative roles in the APAC region offers significant opportunities amidst the challenges. With an extensive global network and a deep understanding of the financial and quantitative landscape, Selby Jennings is well-positioned to help businesses navigate this talent crunch.Our tailored approach and strong focus on the needs of both businesses and professionals make us adept at bridging the talent gap and connecting organizations with the right Quantitative talent. As businesses continue to leverage the power of data and quantitative analysis, partnering with Selby Jennings is a strategic move towards success in the rapidly evolving digital economy.Given the urgent need for Quantitative professionals and the unique challenges in sourcing such talent, we encourage businesses to contact us or reach out by requesting a call back.

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6 FAQs on Quant Finance Careers

Quantitative Analytics, Research & Trading is currently one of the highest paying fields within Financial Services and has become a much sought-after career option in the industry. With Asia emerging as the world’s fastest growing economic region, it is attracting many new entrants. For professionals building a career in Asia's Financial Sciences & Services industry, it is critical to be forward-thinking and innovative. Employers, on the other hand, must strive to attract and retain top talent. Over the past two years, Asia’s strong wage growth has prompted many Quantitative Finance and Technology experts to consider changing careers, particularly in Investment Banking. In order to remain competitive, banks are making concerted efforts to improve the development of junior managers, with some banks going as far as offering a 10-20% salary increase for Quantitative Engineering roles. Keen to stay up to date with China's Financial Services market updates, exclusive industry insights, and the latest job openings? Follow us on WeChat. Follow us on WeChat.According to Yuqi Ding, Assistant Vice President of Selby Jennings and a specialist in Quantitative talent, “It is difficult to predict the future direction of the talent market in the Quantitative Finance field. Therefore, deciding who to hire, how to hire, and whether it is the right time to find new development space is not a simple matter. At this time, professional talent specialists are particularly important.” Here Ding Yuqi addresses some frequently asked questions regarding current trends. ​When planning a career in the Quant Technology sector, what are the career development objectives I should be focusing on? “The Quantitative industry in Asia generally follows a linear structure, with clear roles consisting of Quantitative Researchers, Portfolio Managers, and Team Leads. “Those with 2-3 years of work experience are deemed to have completed the fundamental entry-level step needed to be recognized as an industry newcomer. Gradually, they amass trading experience or develop strategies in a specific area, to become either a Portfolio Manager or Team Lead, managing investment portfolios and making independent investment decisions with the company's support.” ​After how many years of experience should I seek a new role or progression? “Looking beyond unpredictable macroeconomic fluctuations, the ideal time for a job transition is determined by how well the current organization meets an employee's individual professional goals. For example, Quantitative professionals in sell-side investment banks, who have been there for more than two years, may find it more difficult to switch to a buy-side Quantitative hedge fund. As such, it is important to factor this into the decision-making process. “Meanwhile, Quantitative researchers in a buy-side Quantitative fund, who have been in their role for more than two years, may contemplate a move into portfolio management. For more established, independent portfolio managers however, it is advisable to explore new platforms when their strategies have had a consistent track record for an extended time. “Throughout the process, it is crucial to remain alert to shifts in the talent market. If the current environment prevents you from developing your strategy and launching new products, it would be prudent to pursue an organization with a more accommodating environment to avoid increasing your opportunity cost by staying.” ​What is considered as ‘job-hopping’ to companies that are hiring for Quant & Tech talent? “It is very likely that organizations and talent specialists will overlook applicants with consecutive short-term employments that span less than one year due to their lack of stability. This standard is consistent, whether they are applying to local Chinese hedge funds or firms overseas. “When a job switch was caused by factors beyond their control, candidates can provide an explanation when approaching new opportunities to pass initial screening stages. These can include, for instance, a company's funding problem or a shift in management. “More experienced individuals who have held jobs for a longer period of time can usually excuse shorter tenures earlier in their career. However, for junior applicants who that cannot provide a valid justification for previous short tenured employments, they may be declined an interview altogether.” ​When is the best time to change roles, a) during the year, and b) in relation to my career timeline? “March and April are considered the most opportune seasons for job-seekers in this market, when the majority of job vacancies become available. Therefore, your prospects of finding a new job are more favorable in this period than any other time. “Whilst it is common for Quantitative hedge funds to hire candidates year-round, some even go as far as to create positions for the most suitable applicants they encounter. Therefore, it is recommended that job seekers remain abreast of the current market trends, and engage with the support of professional talent partners to ensure they stay updated with any opportunities. “Those who are working in Quantitative roles or data/algo-related roles on the sell-side that demonstrate enthusiasm for buy-side Quant research opportunities should make the switch as soon as possible, as the longer they stay on the sell-side, the harder it may become to switch career paths.” ​Is it feasible to transition into FinTech with prior experience solely in a pure tech environment (e.g. software)? “Over the past two years, the tech industry has changed immensely, resulting in many software Engineers considering a new path in Quantitative Finance.” “Organizations in this market generally prefer applicants with financial industry experience, however, if an applicant possesses strong technical expertise and familiarity with cutting-edge technologies such as machine learning, deep learning and programming projects, they will likely qualify for a position in funds.” ​What are the current Quant talent hiring trends in the industry? Is now a good time to be looking for new opportunities?Regardless of any challenges in the industry, Quantitative Analytics, Research & Trading is still ripe with opportunities, and Selby Jennings is here to support those hiring, and those looking for new roles for themselves, as a specialist talent partner in FinTech and other Financial Services. Feel free to reach out to our talent specialists and begin a discussion about your career trajectory.​If you are a job-seeker, Register with usand submit your CV to begin browsing our job openings. If you are a client looking to source the best talent, please Submit your vacancyor Request a call backfor an introduction to our hiring services.Stay up to date with China's Financial Services market updates, exclusive industry insights,and the latest job openings by following us on WeChat.Quickly follow us by scanning the QR code with your WeChat app below:​

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3 ways to navigate bidding wars for Quants talent Image
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3 ways to navigate bidding wars for Quants talent

Bidding wars are becoming a regular occurrence in the Quants market. Historically, a Quants professional could have 1-2 competing offers on the table, but nowadays that number is closer to 2-4 offers. There are a variety of non-monetary factors for job candidates to consider when in a bidding war for them, and for businesses wanting to snap up the very best Quants professionals, we have seen the three following steps have the most impact in securing top talent: ​1. The time when issuing an offer  Finance firms are sometimes hesitant to be the first to make an offer, as they don’t want their offer to be leveraged against other competitors. However, here at Selby Jennings we do recommend to businesses be the first to offer in the current market, as it allows a firm to have more control over timelines and positions themselves more strategically, being proactive, not reactive when it comes to acquiring top talent. When a company is the first to offer a competitive package, it bodes well with Quants professionals, and it gives them a positive impression and experience. At Selby Jennings we have had top talent take the first offer that was monetarily lower because the job candidate appreciated that the company was the first to move forward within the range they originally requested. Separately, if the first offer is competitive, it gives financial firms the ability to entice top talent to withdraw from other competing processes and move forward with their offer. This may not always be the case, particularly in a hot market, but it’s definitely worth a try and has helped to avoid a bidding war altogether in some cases we’ve experienced at Selby Jennings. ​2. Establishing a quick, yet fair offer deadlineIf a company is slow to put together an offer, there is a greater chance for a competing offer to arise. It is therefore vital that an official deadline is in place and that offers aren’t sitting for multiple weeks. While you want talent to join your firm of their own volition, the longer an offer is sitting on the table, the more time there is for something to go wrong. It is crucial for finance firms to be proactive here and it is beneficial from the very start to be transparent on how long you expect the process to take. If a company is fair and upfront about their own timeframes (say for example if a hiring manager is on leave which could slow a process), they should expect the same from Quants professional within the process. At Selby Jennings, we recommend setting a deadline for accepting an offer, and also giving professionals the chance to discuss the offer to help further fast-track talent processes. ​3. Regular touchpoints with talentIdeally, businesses hiring will have a few touchpoints following the final round of interviews in order to put their best foot forward with their potential new team member. The first follow-up call after the final interview can include a verbal offer, but an informative call should answer any questions on the backend. A final call serves as a last attempt to sell the firm and role before the decision needs to be made. There could be a few more calls depending on the type of position, but we recommend coffee meetings, dinner or something similar, as the personal touch is very important. We advise firms to issue an official (written) offer within 48 hours (ideally 24) after giving a verbal offer and adding a 7-day deadline. This shows commitment while at the same time signalling that you aren’t willing to wait forever. As innovation and new technologies move the financial services industry forward, there is an increasing technical demand for quantitative research & trading professionals that make it harder for firms to find the right talent.With nearly 20 years of extensive experience and a well-garnered client network, Selby Jennings has unrivalled expertise to secure the brightest minds from systematic traders, modellers, developers, portfolio managers, to risk analysts. We shape the talent landscape and influence the trajectory of growth for global investment bankers, boutique hedge funds, management consultancies, software providers, and everything in between. Connecting top professionals with industry-leading opportunities, while providing complementary market research and insights, we harness our network and pair our expertise with advanced technology to secure Quants talent with speed, accuracy, and a reach that spans three continents.​Looking to speak to someone on the Quants team?REQUEST A CALL BACK​Search the latest Quants roles:VIEW JOBS HERE​

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Oliver Cooke joins panel on diversity at QuantMinds International

​​We are delighted to announceOliver Cooke, Managing Director of North America, will be speaking at QuantMinds International. Taking place in Vienna on 13-17 May, QuantMinds International is now in its 26thyear and is the world’s leading quant finance event. 400+ experts from banks, buy-side, regulators, Silicon Valley, academia and beyond join together to learn, network and share expertise on the biggest issues facing the industry. Hear the latest breakthrough research and latest technical case studies from some of the world’s most revered quant thought-leaders.Oliver will be on the much-anticipated panel,Diversity in Quant Finance: Examining the Route to Progress, to discuss how our clients attract, retain and develop diverse talent. Last month, QuantMinds International shared that only 8.3% of quant professionals globally are women. Oliver will joinJessica James, Managing Director atCommerzbank;Katia Babbar, Founder of AI Wealth Technologies; andBirgit Rudloff, Professor of Mathematics for Economics and Business atWU.“Quant is one of the areas where diversity is lacking in regards to female talent,” said Oliver Cooke about the industry. “We’ve seen some progress in recent years, but there’s still a lot of work to do. Every single one of our clients is concerned with improving the diversity of their workforce, particularly now that there’s a wider consensus thatdiverse teams produce better results.”Registration for the event is now open. Enjoy an exclusive 15% discount. Click 'learn more' below to book tickets.--------------About UsSelby Jennings is a leading specialist recruitment agency for banking and financial services. For more than 15 years, we have given clients and candidates peace of mind that the recruitment process is in expert hands. Our continual investment in best-in-class technologies and consultant training enables us to recruit with speed, precision and accuracy. Today, Selby Jennings provides contingency and retained search recruitment across 11 offices in 6 countries. Contact us to find out how Selby Jennings can help you.

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Why Creativity is Key to Attracting and Retaining Quantitative Talent Image
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Why Creativity is Key to Attracting and Retaining Quantitative Talent

​​The rivalry for talent in quantitative research is extremely competitive, and banks are finding that the promise of a large pay check is no longer enough to lure the brightest quantitative minds. As more quantitative analysts leave the financial sector in search of more innovative opportunities, many banks have come to the realization that it is time for a change. If banks want to attract and retain the top quant talent, they need to be more creative with what they can offer.The Rise of the QuantQuants talent is in high demand; not only by banks looking to make the most of their data, but also by hedge funds, fintech companies, and tech firms.  In an article featured in the Wall Street Journal, Luke Ellis, CEO of Man Group, explained just how fierce the competition has become: “Google is trying to hoover up every data scientist in the world. Google has got more money than I have. I can’t compete with Google just on that.” So What Do Quants Want?While quants may be able to command a high salary, that does not mean they are all driven solely by compensation.For quants looking to progress their career, banks are not always the most tempting option. Even though the days when investment banking was full of aggressive traders are behind us, most banks still lack the academic research opportunities that other companies can offer to quants.In contrast, many tech giants not only have the innovative, creative appeal that many quants are drawn towards, but they also are fully engaged with academia. Google, Microsoft and Facebook, for example, all churn out a large number of research papers every year, which is not common in banks.  However, in order to compete, some banks and hedge funds are starting to pitch themselves as research centers where employees are able to work as a team to solve problems and publish original research.Man Group, for example, financially backs a quantitative research laboratory at Oxford University. Since they are eager to tap into quants’ preference for a more collaborative work culture, the hedge fund has also made its trading data accessible to the public. Man Group is just one company thinking more creatively about how to attract and retain quant talent, and many others are testing similar strategies.If the Price is Right…While not necessarily top of a quant candidate’s wish list, salary remains a fundamental part of any employer’s offer.With the right experience and a good Masters or PhD, quants can earn in the region of $150,000 to $200,000 from the start of their career. According to some sources, tech giants also front-load pay to their top quants, giving them $150,000 to $200,000 in stock over five years – thus making it much harder for those employees to go elsewhere.With banks and hedge funds often paying their traders double these figures, they have to rethink the allocation of salaries across the organization. It has been reported that some quants on Wall Street feel that they are ‘second-class citizens’ compared to investment bankers or hedge fund managers, due to the difference in compensation. This perception needs to change if banks hope to be an employer of choice for quant candidates in the future.The Battle for Quant TalentThe nature of quant work is challenging. It uses a complex blend of math, finance and IT to generate profits and reduce risk. Top talent will have years of rigorous study and experience under their belts. It stands to reason that the environment in which they do this should also be as challenging, motivating and inspiring.But this means that banks are faced with a quandary: how to create a culture that is desirable to quants?The starting point is to create an environment that is more conducive to supporting the research quants wish to pursue. In the same way Google used to encourage employees to spend 20% of their time on their own passions – for quants, the solutions they are building are more motivation than a large paycheck. Giving them time to explore and invest in their research may help with retention efforts.Google may have cancelled its policy, but other firms are finding similar policies are working for them. LinkedIn, Apple and Microsoft each have their own versions, offering employees the chance to work on their own projects and ideas, an opportunity that is enticing for quant talent.Other firms need to follow suit and make their own adjustments – not only to their recruitment strategies but to their wider company culture and values as well.To learn more about strategies for attracting and retaining top quant talent, get in touch with Selby Jennings today.--------About UsSelby Jennings is a leading specialist recruitment agency for banking and financial services. For more than 15 years, we have given clients and candidates peace of mind that the recruitment process is in expert hands. Our continual investment in best-in-class technologies and consultant training enables us to recruit with speed, precision and accuracy. Today, Selby Jennings provides contingency and retained search recruitment across 11 offices in 6 countries. Contact us to find out how Selby Jennings can help you.

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Hiring Algorithm/Quant Researchers on the Buyside

​​Buyside trading desks are showing considerable interest in hiring skilled algorithm and quant researchers. What is driving this trend, and what skill set do these in-demand professionals require?Why are buyside firms looking to recruit?Hedge funds and other buyside firms are facing pressure to cut their fees. For example, London-based Brevan Howard, which runs a $14.5bn flagship fund, recently announced that it would waive its management fee from this December. A 20% performance fee will still apply.This fee-cutting drive means one thing: funds need to be more efficient to deliver returns. This is where algorithm and quantitative researchers come into the picture: they create systems to help investment managers make smart decisions that deliver healthy returns, with accompanying healthy percentage fees.In the hedge fund world, only around one third (35%) of funds tracked by Preqin continue to use a traditional ‘2 and 20’ fee structure – 2% management fee, 20% performance fee. Both of these fees have been dropping, with some companies opting to waive some fee types altogether.Why volatility is translating into lower feesThe market is facing a good deal of volatility at the moment, with global events such as the US Presidential election and the Brexit vote in the UK causing uncertainty and concern. The market can fluctuate unexpectedly from day to day or month to month, causing nervousness among investors.In this environment, the buyside companies that can offer the best products are those that can best assess risk within the market. Developing strategies to analyze and manage risk means funds can still provide attractive returns and competitive rates.The power of dataAccording to a recent report by Tabb Group, hedge funds are now investing in extending the scope of their analytics capabilities from conventional transaction cost analysis to routing logic for ATS’s and monthly data and summary statistics.Many trading desks are ill-equipped to manage this additional functionality, with a small number of well paid, highly experienced quantitative analysts rather than a team of quants with varied levels of skill and experience. Firms are scrambling to hire more quants to help boost their abilities in this area.Tasks being taken on by algorithm and quant researchersThe new professionals being hired by buyside firms are tackling a number of different areas for their employers. Firstly, internal processes are a major focus. While external performance is often scrutinized closely, internal processes can also be inherently wasteful, but tend to receive much less attention. Process improvement involves looking at issues such as post-trade processing, workflow efficiency and trading costs.Automation is also a major trend. Firms are automating more elements of their trading practices, meaning that less involvement from managers is required so cost reductions can be achieved. Technology projects to consolidate order management systems are also a major feature of the sector.Which skills are in demand?Buyside firms are keen to recruit enthusiastic candidates with a relevant qualification, such as an advanced degree in physics or mathematics. Candidates should have experience in general asset management, particularly on the buyside within an internal execution or proprietary trading team. For example, experience of working on a trading desk which generates large revenues, or is responsible for trading efforts of the firm, is much in demand.Skills in C++, Python, and market microstructure algorithms are also essential for candidates looking to work in this field. Specifically working with strategies around VWAP, TCA, Pre-trade, Post-trade, etc are seen as valuable skills as these strategies require not only the quantitative + programming skills, but also the qualitative market microstructure knowledge of why securities move the way they do. There is scope to move into the buyside from the sellside if candidates wish to do so and have the right attitude and experience.To learn more about this trend and how it might affect you over the coming months, please reach out to Selby Jennings for an informal discussion.---------About UsSelby Jennings is a leading specialist recruitment agency for banking and financial services. For more than 15 years, we have given clients and candidates peace of mind that the recruitment process is in expert hands. Our continual investment in best-in-class technologies and consultant training enables us to recruit with speed, precision and accuracy. Today, Selby Jennings provides contingency and retained search recruitment across 11 offices in 6 countries. Contact us to find out how Selby Jennings can help you.

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Compensation Trends in Quantitative Risk Image
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Compensation Trends in Quantitative Risk

​​Overpaying for Junior PhDsAs recruiters within the Risk Analytics space, we come across PhD candidates wanting to take the next step in their career on a daily basis. On the other side of the spectrum, our clients are increasingly demanding for junior to mid-level candidates to have PhDs (2-5 years of experience) across all areas of quantitative risk.Because this space is becoming competitive, retaining strong candidates is increasingly difficult given the plethora of risk opportunities available, some firms are dishing out eye-popping base salaries, whether to a junior PhD moving into a new role or paying them a large amount right off the bat. The idea behind this tactic is that by giving them such a large base salary, it will likely price the candidate out of other opportunities for the next 2 – 3 years if they decide to look externally – and many of them will get to the offer stage if they do. For many firms that employ this technique, it’s working.Why PhD candidates are so highly sought after                          There’s no doubt that pursuing and receiving a PhD requires a strong passion for your field of choice. It also says that you are willing to put in an extensive amount of hard work. Many dissertations require students to dive much deeper into mathematical/statistical theories than someone who only has a Master’s, and work with those theories for a longer period of time as a PhD can take up to 5 years to complete.While on a meeting with a renowned name in the Risk Modeling industry, we recently inquired as to why PhDs are special. His response was that PhDs have a much easier time looking at models and formulating their own opinions on the models in a well-thought out manner, which is something very important within model validation – the space that has seen the largest growth in recent years.He explained that “Masters” validators had a higher tendency to regurgitate what the developers say – which leads to the second line of defense in the modeling process being trivialized. Models that have their assumptions and design severely challenged that still end up getting approved are likely to be very useful models. Models that are not thoroughly critiqued have a much higher rate of model failure and end up having to be redeveloped or put in the archives of the model inventory never to be used again.Geographical Trends                                                              There is no doubt that the financial hub of the US, arguably the world as well, is New York City.  We talk to countless candidates everyday that say their main reason for looking is that they want to get to New York, especially the more junior candidates. They likely took an opportunity that would allow for them to gain the 1 – 2 years of experience necessary to be considered a valuable Risk candidate and then want to take those skills to New York – this is common across both Masters and PhD candidates.For this reason, overpaying for fresh PhDs is most common amongst regional banks in the South that lose junior PhD candidates all the time for opportunities in New York. Satellite offices of major banks in the South are much less guilty of this. If PhD Candidate X has one year of experience and is getting paid a $125k base in a Southern state where the cost of living difference can be up to 40% cheaper than NYC, and they go to apply to an NYC position they will likely expect a cost of living increase to be accounted for in their new compensation figures and therefore will price themselves out of the opportunity. This candidate might expect a $145k to $150k base salary in New York – something that will enable them to maintain a similar standard of living however is a range justifiable for candidates with more years of experience.Note: This is not only common to the South, as we have seen this tactic also employed on the West Coast and Mid-Atlantic region in cities such as Charlotte and Washington DC.For a VP Model Validation role in New York (5 – 7 years of experience expected minimum), a competitive compensation range starts at $150k (and generally will go up to $180k). It is extremely hard for compensation teams and HRs to justify giving Candidate X with one year of experience a VP title as well as a $150k base when the requirements for the role are much higher and there are other candidates out that with many more years of relevant experience.  At the same time, an Associate level role in NYC seeking candidates with 1 – 3 years of experience, will probably max out at $120k (and that’s if they are generous) – which would mean a lateral or potential cut for a PhD Candidate. AVP level roles will go up to about $135k – which does not provide much room for a salary increase to give someone such as Candidate X an incentive to move. We have sent candidates based in the South with similar profiles to clients in the Northeast and gotten feedback along the lines of, “We love this person’s profile but we can’t put them through an interview process as they are being paid too much for their years of experience.”Our advice to clients who are eager to hire junior PhDs with relevant experience, either be willing to pay, be willing to consider Master’s candidates from strong programs, or be willing to spend time on a search in order to find a candidate in the right situation.What is your PhD in? How is this viewed by the market?PhDs in Theoretical Physics tend to be considered the most brilliant and end up being the most successful.PhDs in Statistics generally tend to interview well as many technical questions in interview for risk modeling jobs are focused around statistical techniques and methods. We have seen these candidates slip up on simple statistical questions in interviews – nothing is a givenPhDs in Econometrics follow closely after that but it depends on how statistic-focused their coursework and thesis was.PhDs in Mathematics or Applied Mathematics come afterPhDs in Economics generally do not add a great deal of value since many times they are focused on theory and financial markets from a more qualitative standpoint – however there can easily be exceptionsDesired Skills in the Current MarketWholesale Credit Risk Model Development and Validation – This has been a major area of growth for small banks, medium sized banks, and the largest investment banks in the world. Credit Risk Model Developers and Model Validators that have wholesale PD/LGD experience focused on C&I portfolios and CRE portfolios are likely to find open positions hitting all levels from Associate to Director.  C&I portfolios can be particularly complex so candidates with strong risk modeling skills that can also understand the business aspect of these portfolios will have a significant edge over their competition.Front Office Operational Risk – There has been a trend within Operational Risk to expand its scope from being a back office function to a firm-wide staple. A specific area of expansion has been into the front office. Candidates that can develop, implement, and execute a full RCSA framework across Sales & Trading desks are highly coveted. Ops Risk candidates that have experience covering Investment Banking functions such as M&A, debt & equity capital markets are also in desire, but not nearly as much as S&T considering that split second decisions or errors can have an immediate negative impact resulting in immense losses for banks.VaR, IRC, CCAR – Investment banks hiring within market risk have had a common type of profile they are looking for, mainly across the AVP/VP level. This being VaR Modelers that have both IRC (Incremental Risk Charge) and CCAR experience. This type of modeling is prevalent across all investment banks, both US and European.Model Risk Audit – This is a third line of defense in the modeling process, and is relatively new. These roles fall within the audit space because they follow an audit process, however the work required for these types of roles are generally fairly quantitative, as they require independent testing of model development and model validation processes. Candidates with model development or validation experience can generally do this type of a role. Hiring within this space has spanned from the Associate to Director level as many banks are looking to build out these teams to bolster their model risk processes. Some firms have teams that specialize in auditing certain kinds of models (market vs. credit) and some firms have model audit teams that are more generalist and oversee all kinds of risk models. If a candidate who has credit risk modeling experience would like to gain market risk experience, I would recommend that they look into some of these kinds of roles as they can likely be qualified for the role while still having the opportunity to gain exposure in models they have not worked with before.---------About UsSelby Jennings is a leading specialist recruitment agency for banking and financial services. For more than 15 years, we have given clients and candidates peace of mind that the recruitment process is in expert hands. Our continual investment in best-in-class technologies and consultant training enables us to recruit with speed, precision and accuracy. Today, Selby Jennings provides contingency and retained search recruitment across 11 offices in 6 countries. Contact us to find out how Selby Jennings can help you.​

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