Commodities

Commodities

Quantitative Developer (Python)

Your future role within the firm Develop ETL pipelines to integrate and test extensive alternative datasets for the Commodities desk, collaborating with quantitative researchers and data engineering teams. Architect, deploy, and manage cloud-based systems for storing and exploring extensive alternative datasets, collaborating with the cloud infrastructure team. Monitor, support, debug, and extend existing Commodities trading and research infrastructure in collaboration with Researchers and Support Engineers. Your current skillset Proficiency in Python, particularly numerical libraries such as numpy, pandas, matplotlib, etc. Basic understanding of cloud services. Basic knowledge of databases (e.g., SQL). Familiarity with development practices - version control with Git, unit testing, etc. A quantitative mindset. Team player with a collaborative attitude. Nice to have Experience in creating dashboards or using data visualisation software (e.g., Tableau, Dash). In-depth experience with cloud services (e.g., DynamoDB, RDS, S3, Lambda, AWS CDK). Advanced database knowledge (query optimisation, relational vs non-relational databases, etc.). Experience with parallel computation. Experience with geographic data using geopandas, xarray. Financial knowledge is a plus but not required. This role can be based in either Zürich or Geneva

Negotiable
Zurich
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HFT Systematic Trader/PM

Job Title: HFT Systematic Trader/PM - Hedge Fund Location: New York / Remote I am partnered with a Hedge Fund based in NYC, managing over $1 Billion in AUM, and they are actively seeking to onboard a talented HFT Systematic Trader/PM specializing in options, futures, ETFs, or equities to join their dynamic team. As a Systematic Trader/PM, you will play a crucial role in the firm's investment strategies, leveraging data-driven insights and cutting-edge technology to optimize trading decisions in the fast-paced world of traditional finance. Position Overview: The firm is seeking a highly skilled and experienced traditional finance Trader/PM to join their dynamic team. The ideal candidate will have a proven track record of at least 5 years in live trading and must possess robust strategies that can be integrated into our trading systems for optimal performance. Responsibilities: Trade and implement systematic trading strategies for traditional finance. Conduct in-depth research and analysis to identify profitable trading opportunities. Monitor market trends and adjust strategies accordingly to maximize returns. Collaborate with the research and technology teams to enhance trading algorithms and infrastructure. Maintain thorough documentation and performance tracking of trading strategies. Requirements: Minimum of 5 years of successful live trading experience in traditional finance markets. Proficient in developing systematic trading strategies using quantitative analysis and data-driven methodologies. Strong understanding of market dynamics, risk management, and trading psychology. Demonstrated track record of generating consistent profits and managing risk effectively. Excellent programming skills in languages such as Python, R, or C++. Experience with trading platforms and tools such as Bloomberg, TradingView, or similar. Bachelor's degree in finance, mathematics, computer science, or related field (preferred but not required). Benefits: Competitive compensation package with performance-based bonuses. Opportunities for career growth and advancement within the firm. Access to cutting-edge technology and resources for trading. Collaborative and dynamic work environment with like-minded professionals. Flexible work arrangements and hybrid work options available.

US$450000 - US$850000 per year + Performance Based Bonus
New York
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Quantitative Energy Trader

I am partnered with an Energy hedge fund looking for a Quantitative Energy Trader. The ideal candidate will possess a strong background in quantitative finance, excellent analytical skills, and a deep understanding of energy markets. As a Quantitative Energy Trader, you will be responsible for developing and implementing trading strategies to capitalize on market opportunities, managing risk exposure, and maximizing profitability. The firm is looking for someone with a proven track record in these markets: MISO, PJM, CAISO, SPP, or ERCOT. Requirements: 🔶Positive track record trading in: MISO, PJM, CAISO, SPP, or ERCOT 🔶Fundamental knowledge of Energy Systems 🔶Conduct thorough analysis of energy markets, including supply and demand dynamics, price movements, and geopolitical factors influencing the energy sector. 🔶Utilize quantitative models and statistical techniques to develop trading strategies for various energy products, including crude oil, natural gas, electricity, and renewables. 🔶 Design, backtest, and implement algorithmic trading models to execute trading strategies efficiently and systematically. 🔶Work well in team environment

US$150000 - US$250000 per year + +bonus or PnL split
New York
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Senior Software Engineer (CTRM)

Join the Technology Team of a Leading Commodities Asset Manager in Houston! We are currently seeking an experienced Senior Software Engineer to join the technology team at one of our prestigious clients, a leading commodities asset manager based in Houston. The successful candidate will have 5 years' experience with Python and C#, as well as expertise using Endur and Allegro software applications. Responsibilities: - Develop new features for ETRM/CTRM systems - Collaborate with traders, operations staff, and developers on system enhancements - Maintain current codebase through refactoring efforts Qualifications: The ideal candidate should possess: - Bachelor's degree or higher from accredited institution (Computer Science or related field preferred) - At least five years' experience developing custom software solutions in commodity markets settings. - Strong understanding of ETRM / CTRM platforms such as Endur & Allegro If you meet these criteria and would enjoy working within fast-paced quant finance environment focused on cutting-edge technologies then please apply today! Selby Jennings is proud to be assisting this client fill critical roles across their business lines nationwide.

US$150000 - US$250000 per year
Houston
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Project Risk Manager (M/F/D)

Your responsibilities will include: Independently analyzing and offering feedback on important business decisions. Assessing investment decisions, new business ventures, and products to evaluate their robustness and dependencies on input assumptions. Identifying key risk factors, including market, reputational, sustainability, operational, and regulatory risks. Reviewing valuation models to ensure transparency in project viability. Collaborating with various departments such as Legal, Environment, and Finance. Drafting decision support documents for executive leadership. To be successful in this role, you should have: A relevant university degree or equivalent qualification (economics, natural sciences, engineering) or a comparable qualification). Excellent knowledge of investment and project evaluation, business administration, and financing. At least 5 years of experience in a similar role, such as management consultancy or project management. Proficiency in project and asset management. M&A experience Familiarity with energy markets and the challenges of the district heating business would be advantageous. German (C1-C2)

Negotiable
Berlin
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Quant Developer - Commodities (m/f)

A leading commodities firm, based in Lugano, is seeking a Quantitative Developer to bolster the analytical team that aids the Cross-Commodity Trading desk. Candidates should possess a minimum of 3 years of pertinent professional experience. The role demands a keen interest in quantitative development and involves ongoing collaboration with Traders, Analysts, and IT developers. Responsibilities: The chosen candidate will collaborate with Quantitative Researchers to design and execute software solutions that utilize advanced statistical methods and technologies. These solutions will primarily support trading and investment decision-making processes. Qualifications: Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a comparable field Proficiency in MatLab, Python, R Experience with Distributed Computing, Machine Learning, Numerical optimization A minimum of three years of relevant work experience Prior exposure to database technologies Proficiency in English and Italian; proficiency in an additional European language is advantageous We Provide: A permanent role with a competitive compensation package A professional, dynamic work environment

Negotiable
Lugano
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Senior Quant Analyst - Commodities (m/f)

Responsibilities and Tasks: The selected analyst will be involved in the following areas: Model Development and Deployment: Creating and implementing models based on both fundamental and non-fundamental data from diverse commodity markets. Monitoring and Execution: Overseeing trading positions and occasionally executing trades. Model Maintenance and Expansion: Ensuring the ongoing effectiveness and scalability of existing models. Data Analysis and Interpretation: Analyzing and interpreting data and model outcomes. Analytic Tool Development: Building tools to enhance analytical capabilities. Intraday Trading Strategies: Developing and automating technical intraday trading strategies. Requirements: Quantitative Background: A solid foundation in quantitative disciplines, supported by a master's degree in science-related fields (such as Physics, Mathematics, Computer Science, Statistics, or Mathematical Engineering). Market Modeling Experience: At least 5 years of experience in market modeling, with a focus on intraday trading as an advantage. Machine Learning and Econometrics: Familiarity with machine learning techniques and econometric modeling. Coding Proficiency: Strong coding skills, particularly in Python, MatLab, and R. Data Analysis: Proficiency in data analysis. Autonomous Work: Ability to work independently. Language Skills: Fluent in English; knowledge of Italian is a bonus.

Negotiable
Lugano
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Middle Office Analyst

Key Responsibilities: Collaborate closely with the front office team to ensure accurate trade capture and timely validation of trade entries in the oil trading sector. Reconcile trading positions with counterparties and internal systems to identify and resolve discrepancies. Coordinate with operations staff to facilitate the timely settlement of trades and manage physical logistics as necessary. Ensure compliance with internal policies, regulatory requirements, and industry best practices in trade operations. Generate and analyse reports on exposure positions, trading profit/loss, and other key metrics to support decision-making. Provide support to traders and other stakeholders by addressing inquiries and resolving issues related to trade operations. Collaborate with various teams such as Financial Control, Back Office, and Compliance to ensure alignment and consistency in operational processes. Participate in process improvements and system enhancements to optimise efficiency and mitigate operational risks. Qualifications: Bachelor's degree in Finance, Economics, Business Administration, or related field. Relevant certifications or advanced degrees are a plus. Previous experience in middle office operations, preferably within the oil trading industry. Strong understanding of trade lifecycle, trade capture processes, and trade settlements. Proficiency in using trade capture systems and familiarity with industry-standard trading platforms. Excellent analytical and problem-solving skills with keen attention to detail. Effective communication and interpersonal skills, with the ability to collaborate across teams and interact with stakeholders at all levels. Ability to thrive in a fast-paced environment and manage multiple priorities effectively. Knowledge of regulatory requirements relevant to trading operations is desirable.

Negotiable
England
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Sr. Quantitative Risk Analyst - Commodities

Position Overview: Selby Jennings is partnered with one of the world's largest independent commodities trade houses to source talent for a Sr. Quantitative Risk Analyst. This position will work directly with the front office, business heads, and the trading desk in order to assess, develop, and implement risk models to support their functions. Key Responsibilities: Design and execute quantitative risk models and metrics to support trading operations. Assume responsibility for models, ensuring accurate position assessment with a deep understanding of contract maturity behavior and seasonality. Verify the accuracy and consistency of forward curves and implied volatility surfaces by comparing them to market values and settlements. Develop and monitor in-house forward curves, implementing front-to-back office solutions for market assessment. Ongoing curve monitoring includes proper treatment of curve expiry and calendar rolls. Provide backup support for Middle Officers in PnL and Position reporting, demonstrating initiative in collaboration with front office, IT, Ops, Accounting, and Finance, as needed. Optimize and enhance processes, including data quality checks, through automation of operations. Undertake special risk assessment assignments as required for structured and bespoke transactions. Evaluate high-risk concentrations/limit breaches and communicate findings to the Head of Risk and Senior Management. Aggregate data from diverse sources and uphold disciplined data science practices. Qualifications: Possess a minimum of 3-5 years' experience in a quantitative role within a trading environment. Consideration may be given to candidates with less experience if they demonstrate a strong application of quantitative theory and hold an advanced degree from a top-tier University/Grande École. Hold a university degree in a numerate discipline (STEM), with a graduate degree being advantageous. Proficient in handling large datasets and databases, with knowledge of SQL. Proficiency in at least one programming language/software, with preference given to languages such as Visual Basic, Python, C+/C#, and R. Experience or advanced knowledge of programming concepts. Demonstrated ability to work effectively in a team environment and communicate work effectively. Quick learner with strong attention to detail. Familiarity with MS Office, advanced Excel user. Desired finance and business acumen. Advanced knowledge of derivatives/options, real options, financial mathematics, and statistics. Proactive and self-motivated. Strong verbal and written presentation skills. If you are interested in the Sr. Quantitative Risk Analyst position, then please don't wait to apply!

Negotiable
Houston
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Credit Risk Analyst (M/W/D)

Credit Risk Analyst (m/w/d) Ein großes Unternehmen im Energie- und Rohstoffsektor stellt drei Kreditrisikoanalysten ein, die vom Junior bis zum Senior reichen. Aufgaben: - Bonitätsprüfung nationaler und internationaler Unternehmen (IFRS, HGB) -Eigenständige Erstellung der Bewertungsunterlagen und Empfehlung von Kreditlimits -Aktive Zusammenarbeit und Beratung der operativen Einheiten zu risikominimierenden Maßnahmen und Vertragsklauseln mit den Geschäftspartnern -Selbständige Überwachung der Kreditengagements in den verantworteten Geschäftsbereichen -Proaktive Weiterentwicklung von kreditrelevanten Prozessen und Richtlinien -Mitarbeit an Projekten zur Verbesserung interner Geschäftsabläufe Anforderungsprofil: Wir suchen eine erfahrene Persönlichkeit mit einem starken Hintergrund in den Bereichen Energie oder Rohstoffe. Weitere Anforderungen sind: -Abgeschlossene Ausbildung zum/r Bankkaufmann/frau mit mehrjähriger Berufserfahrung im Bereich der Unternehmensfinanzierung, oder abgeschlossenes wirtschaftswissenschaftliches Hochschulstudium mit Schwerpunkten in den Bereichen Finanzwirtschaft oder Kapitalmarkt oder vergleichbare Qualifikation -Kenntnisse der nationalen und internationalen Rechnungslegung und Bilanzanalyse erforderlich -Berufserfahrungen im energiewirtschaftlichen Umfeld von Vorteil -Sehr gute MS-Office Kenntnisse -Hohe analytische Fähigkeiten und sichere Urteilsfähigkeit -Selbstständige, strukturierte und eigenmotivierte Arbeitsweise -Gute Kommunikationsfähigkeiten und Teamfähigkeit -Sehr gute Englischkenntnisse in Wort und Schrift Bewerbungsprozess : Bitte sendet eure Bewerbung inklusive Lebenslauf direkt per Email

Negotiable
Germany
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Quantitative Energy Trader

I am partnered with an Energy hedge fund looking for a Quantitative Energy Trader. The firm specializing in FTR and Nodal trading. The firm is looking for someone with a proven track record in these markets: MISO, PJM, CAISO, SPP, or ERCOT. Requirements: 🔶PnL in MISO, PJM, CAISO, SPP, or ERCOT 🔶Fundamental knowledge of power systems and power grids. 🔶Work well in team environment

US$150000 - US$150001 per year + +bonus or PnL split
Chicago
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Trading Data Analyst, Compliance

A top commodities trading firm is targeting skilled data analytics professionals to join their Compliance team to focus on leveraging post-trade data to assess risk. This is an opportunity to directly impact the firm's investment strategies by leveraging modern data tools to analyze pertinent data. Ideally, the team is seeking candidates with experience ingesting large amounts of data from various sources using tools such as Python, SQL, and Excel. Responsibilities Monitoring and scrutinizing trading activity. Developing and implementing surveillance tools for comprehensive reviews. Compiling and presenting reports to regulatory authorities. Crafting analytical tools and streamlining processes through automation. Assisting in the development and implementation of compliance policies and procedures. Conducting thorough investigations into allegations of misconduct. Qualifications: Bachelor's or Master's degree in a quantitative field. Strong experience with Excel required Experience leveraging Python and/or SQL for data analytics Understanding of business intelligence tools such as Tableau or Power BI.

US$130001 - US$180000 per year
Houston
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