Quantitative Researcher Futures

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 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.

We are seeking a Quantitative Researcher with 3-5 years of experience to develop and improve systematic trading signals using machine learning and statistical methods. The role focuses on non-linear signal modeling, regime-aware frameworks, and the integration of new data sources into existing research and risk systems. The researcher will work closely with traders and other quants, with clear ownership and direct impact on live trading.

What you'll be doing:

• 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.

Qualifications/Skills:

• 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.

The annual base salary range for this position is $150,000 to $250,000 depending on the candidate's experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.

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