Quantitative Researcher, Equities

DRW; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

DRW is seeking an Algorithmic Trading Researcher to join their team in Singapore. In this role, you will research and develop statistical arbitrage strategies in equities.

With a focus on advanced statistical analysis, machine learning, and signal processing, you'll work collaboratively with traders and engineers to enhance systematic trading strategies, leveraging high-performance computing resources. A strong quantitative background and previous experience in systematic trading are essential for success in this innovative and dynamic atmosphere.

Qualifications

• 4+ years of experience in equity/futures statistical arbitrage or systematic trading research.
• Experience in handling large datasets using languages such as Python or C++.
• Strong proactivity and goal-setting capabilities.

Responsibilities

• Research and develop intraday statistical arbitrage strategies.
• Analyze high-frequency market data to identify predictive signals.
• Collaborate with traders and engineers to implement trading strategies.

Skills

Statistical arbitrage strategies

Machine learning

Optimization

Signal processing

Python

C++

Data analysis

Education

Advanced degree in quantitative field

Job description

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

Algorithmic Trading Researchers at DRW

Algorithmic Trading Researchers at DRW apply tools from a variety of disciplines including statistics, control theory, machine learning, optimization, and signal processing to develop algorithmic trading strategies. Our research team collaborates on idea generation and strategy development, while encouraging independent exploration and original approaches. Researchers have access to clean data integrated with a high performance-computing grid and the support of dedicated software developers.

What you’ll do in this role

• Research and develop intraday statistical arbitrage strategies in equities
• Analyze high-frequency market data to identify short-term predictive signals
• Build and evaluate models for intraday alpha, risk, transaction costs, liquidity, and portfolio construction.
• Collaborate with traders and engineers to implement, monitor, and improve systematic trading strategies in production.
• Apply rigorous statistical testing, simulation, and performance attribution to validate signals and trading performance.
• Create and refine high-quality predictive signals using statistics, machine learning, and signal processing techniques.
• Identify and mathematically characterize inefficiencies in financial markets.
• Apply NLP and other cutting-edge methods to uncover alpha in non-traditional datasets.
• Utilize advanced optimization techniques to design and construct optimal portfolios.
• Design and implement automated trading agents to achieve superior execution performance.
• Formulate research problems, conduct rigorous analysis, and transition ideas into fully functional trading systems.

Requirements

• 4+ years of professional experience in equity/futures statistical arbitrage or systematic trading research.
• Advanced degree in a quantitative field with a focus on statistics, mathematics, machine learning, signal processing or optimizations
• Experience in handling large datasets using languages such as Python or C++
• Significant hands‑on experience with formulating a research problem, conducting the research and developing a working system
• Proven track record in delivering successful systematic strategies is plus
• Self‑starter with strong proactivity, sets ambitious goals, willingness to drive and own projects, and proactively identifies opportunities for impact
• Excellent verbal and written communication skills
• Meticulous attention to details and accuracy in work

For more information about DRW’s processing activities and our use of job applicants’ data, please view our Privacy Notice at https://drw.com/privacy-notice.