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. DRW is looking for Quantitative Researchers to join our expanding Mid-Frequency Systematic Trading team in New York City. Responsibilities Apply statistical and machine learning methods across diverse datasets to build trading models that capture novel signals in market behavior. You will contribute across the full strategy lifecycle — from alpha research and signal generation to portfolio optimization and execution logic. You will prototype new ideas, investigate strategy components, and write production-quality code to bring them to life. We're a highly collaborative team that moves quickly and holds a high bar for rigor. We invest in mentorship and hands-on guidance to help you ramp up and grow. Qualifications 2+ years of prior work experience in statistical arbitrage or systematic trading research Proven ability to conduct research with large, noisy real-world datasets Strong programming skills, with proficiency in Python for data analysis and machine learning. Experience with C++ a plus but not required Degree in a quantitative or technical discipline, such as statistics, computer science, physics, mathematics or economics. All levels welcome, from bachelor's to doctorate Deep-diving, detail-oriented thinker with a strong bias for action and ability to excel in a fast-paced environment Ability to own and drive open-ended problems, explore novel approaches, and communicate complex ideas clearly The annual base salary range for this position is $200,000 to $300,000 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. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at drw.com . California residents, please review the California Privacy Notice for information about certain legal rights at drw.com . [#LI-AC]

Requirements

Must-haves

DRW is looking for Quantitative Researchers to join our expanding Mid-Frequency Systematic Trading team in New York City.
Apply statistical and machine learning methods across diverse datasets to build trading models that capture novel signals in market behavior.
You will contribute across the full strategy lifecycle — from alpha research and signal generation to portfolio optimization and execution logic.
You will prototype new ideas, investigate strategy components, and write production-quality code to bring them to life.
We're a highly collaborative team that moves quickly and holds a high bar for rigor. We invest in mentorship and hands-on guidance to help you ramp up and grow.
2+ years of prior work experience in statistical arbitrage or systematic trading research
Proven ability to conduct research with large, noisy real-world datasets
Degree in a quantitative or technical discipline, such as statistics, computer science, physics, mathematics or economics. All levels welcome, from bachelor's to doctorate
Deep-diving, detail-oriented thinker with a strong bias for action and ability to excel in a fast-paced environment
Ability to own and drive open-ended problems, explore novel approaches, and communicate complex ideas clearly
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 .
California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice .

Nice-to-haves

Strong programming skills, with proficiency in Python for data analysis and machine learning. Experience with C++ a plus but not required

Application prep

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Keywords to mirror

machine learningpython

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Pto