Quantitative Research & Trading

Quantitative Research & Trading

Quants is profoundly transforming the investment industry. The grizzled traders of Wall Street of public perception are being deposed by young, brilliant mathematical minds. As financial securities have become increasingly complex, demand has grown rapidly for people who can use mathematical models to price securities, generate profits and reduce risk – enter the quant. 

Quantitative analysis positions are found almost exclusively in major financial centres with trading operations. In Asia, many quants are working in Hong Kong, Singapore, Tokyo, and Sydney, among other regional financial centres. 

Quant analysts apply mathematical and statistical models in the sell-side for derivatives pricing and risk management, as well as the buy-side for statistical arbitrage, algorithmic trading and quantitative investment trading. Harnessing the power of computer science and vast data-sets to make investment decisions is no mean feat. Since 1988, Renaissance Technologies has generated over $136.53 billion in SGD in trading profits – more than any other hedge fund in history. 

For decades, investors imagined a day when data-driven traders would dominate financial markets. That time has come – the quant hedge fund sector is experiencing significant growth. The growth of Two Sigma, one of the leaders of the quant hedge fund industry, is also emblematic of the shift away from traditional hedge fund strategies. Barclays analysts last summer estimated that quant hedge funds, or quant strategies within bigger hedge fund groups, managed about $682.24 billion SGD. 

For the intellectually curious, quants provides applied mathematical and statistical models to the most obscure financial and risk management problems during unpredictable market conditions. In 2018, the algorithms behind trend-following quants struggled to react fast enough to market volatility caused by President Trump’s tweets and US-China trade tensions, alongside other political maelstroms such as Brexit. In response, analysts at JP Morgan have created and coined the Volfefe Index to predict how “a broad swaths of assets from single-name stocks to macro products have their price dynamics beholden to a handful of tweets.” 

According to PayScale, the average salary for a Quantitative Analyst in Singapore is $70,638 SGD. The future looks bright for the quantitative hedge fund industry, with $1.36 trillion SGD of assets under management this year – with the sector continuing to grow at breakneck speed it is a great time to be a quant. 

Quantitative Analytic Jobs

C++ Quantitative Developer
US$400000 - US$750000 per annum, New York

A high frequency trading firm with an extensive track record of success is looking to bring on an...

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Machine Learning Quantitative Researcher
Negotiable, Chicago

The Responsibilities: Apply advanced mathematical and statistical methods to build financial mode...

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Ph.D level Quantitative Researcher
US$250000 - US$500000 per year, New York

A client of ours is looking for an energetic, outgoing, and driven researcher to join an expandin...

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Director of Quant Research - Digital Assets
US$500000 - US$1500000 per year, New York

An under the radar & well-funded quantitative trading firm is looking for an experienced quant re...

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OMM Lead - Digital Assets
US$300000 - US$600000 per year, New York

We are working exclusively with an extremely well-funded & global digital assets startup looking ...

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AWS infrastructure specialist -HK
Negotiable, Hong Kong

My client is a global quant & systematic trading firm headquartered in the UK, operating across 5...

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Rust Developer
Negotiable, Singapore

Role Overview Lead the Firm's research efforts to assist in the development and implementation of...

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C++ Software Engineer
Negotiable, Miami

An elite hedge fund leveraging innovations both within the tech and data science industry is buil...

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Senior Quantitative Developer
US$150000 - US$170000 per year, Boston

We are working with a top client on a current opportunity for a Quant Developer role on a permane...

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