Quantitative Researcher: ML Signals & Regime-Aware Trading

Cumberland; New York (NY); On-site; USD 150,000 - 250,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

401k with discretionary employer match

Short-term disability

Long-term disability

Life and AD&D insurance

Health savings accounts

Flexible spending accounts

Job summary

DRW is seeking a Quantitative Researcher with 3-5 years of experience to develop non-linear signal models and integrate them into live trading systems. The role collaborates with traders and quants to advance machine learning based signals using intraday and daily data.

Applicants should have a strong ML/statistics foundation, proficiency in Python, and time-series expertise. A PhD or master's degree is preferred, with the opportunity to join a wide-ranging, high-performance team in New York.

Qualifications

• 3+ years of experience in quantitative research, systematic trading, or applied ML in financial markets.
• Strong foundation in machine learning, statistics, and optimization with advance degree (masters/PhD).
• Proficiency in Python and common data/ML libraries.
• Experience working with time-series data and building predictive models.
• Strong analytical skills and ability to communicate results clearly to trading teams.

Responsibilities

• Design non-linear signal combination frameworks, improving upon existing linear and mean-variance approaches.
• Build regime-aware models and conditional signal frameworks based on market states (e.g., volatility, correlations, risk conditions).
• Research, develop, and validate machine learning based trading signals on intraday and daily data.
• Integrate signals into risk sizing, portfolio construction, and optimization frameworks.
• Work closely with traders and infrastructure teams to transition research into production.

Skills

Machine learning

Statistics

Optimization

Python

Time-series

Communication

Education

Master's degree or PhD in a relevant field

Tools

NumPy

pandas

scikit-learn

Job description

DRW is seeking a Quantitative Researcher with 3-5 years of experience to develop non-linear signal models and integrate them into live trading systems. The role collaborates with traders and quants to advance machine learning based signals using intraday and daily data.

Applicants should have a strong ML/statistics foundation, proficiency in Python, and time-series expertise. A PhD or master's degree is preferred, with the opportunity to join a wide-ranging, high-performance team in New York.