Quantitative Researcher, Equities

Responsibilities

• 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 (statistics, mathematics, machine learning, signal processing, or optimizations)
• Experience handling large datasets using Python or C++
• Significant hands-on experience formulating research problems and developing working systems
• Excellent verbal and written communication skills
• Meticulous attention to detail and accuracy

Preferred Qualifications

• Proven track record in delivering successful systematic strategies

About the Company

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 trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets.