Quantitative Researcher, Equities

About the role

DRW is a diversified trading firm that operates its own capital across global markets. As a Quantitative Researcher – Equities you will develop intraday statistical arbitrage strategies using advanced statistical, machine learning and signal processing techniques.

Key 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, including applying NLP to non‑traditional datasets.
• Design and implement automated trading agents and optimal portfolios using advanced optimization techniques.

Required profile

• 4+ years of professional experience in equity/futures statistical arbitrage or systematic trading research.
• Advanced degree in a quantitative field focused on statistics, mathematics, machine learning, signal processing or optimization.
• Experience handling large datasets using Python or C++.
• Significant hands‑on experience formulating research problems, conducting research, and developing working systems.
• Proven track record delivering successful systematic strategies (plus).
• Self‑starter with strong proactivity, ambitious goal‑setting, and ability to drive projects end‑to‑end.
• Excellent verbal and written communication skills.
• Meticulous attention to detail and accuracy.

Required skills

• Python
• C++