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. 

“There’s certainly a talent shortage of quants in Asia,” says Jason Hsu, the founder and chairman of Rayliant Global Advisors, an Asia-focused quantitative equity investment firm. “Asia lacks seasoned quant researchers, and some of the ones here are too ‘local’ in their approach and aren’t equipped to work for international companies.”

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. 

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 widespread usage of derivatives will make returns more stable ... increase liquidity, and new strategies may emerge,” said Wang Feng, a former Wall Street trader and co-founder of Alpha Squared Capital, a Hangzhou-based hedge fund. “The industry will enter era 2.0. The most difficult time may have passed already.”

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.” 

Quantitative Research & Trading Jobs

Quantitative Portfolio Manager
Negotiable, City of London, London

Key Responsibilities of the Quantitative Portfolio Manager include: Managing your own quant...

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Vice President
HK$1200000 - HK$1600000 per annum, Hong Kong

Key skills, roles and responsibilities are: Market Microstructure research for Algorithmic Tra...

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Portfolio Managers
Negotiable, Singapore

We are currently working with a few leading Global Multi-Asset Hedge Funds, trading houses and e...

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Linux Systems Engineer
US$150000 - US$225000 per year + + Discretionary Bonus, Manhattan, New York

A leading High Frequency Trading firm in NYC is looking to on-board a Linux Systems Engineer to ...

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Senior Data Scientist | Global Conglomerate | SG/HK
Negotiable, Singapore

Summary: Our client is a leading conglomerate, and we are looking for experienced Data Scientis...

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Quant Researcher - Multi Asset
US$300000 - US$400000 per year, New York, USA

The Asset Management Division of a Tier 1 Investment Bank here in NYC is looking for a strong Qu...

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Lead Data Analyst, Advanced Analytics, SG/HK
Negotiable, Singapore

Our client is a top-tier global MNC and we're looking to hire a Lead Data Analyst as part of bus...

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Options Market Making Quant
US$250000 - US$450000 per year, Chicago, Illinois

Being able to thrive in a competitive environment is a must. You will be working with the top ta...

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Interest Rates Quant Researcher
Negotiable, London, England

Responsibilities Will Include * Research and implement key methods and technologies to facilit...

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