Drweng Quantitative Researcher at DRW's Mid-Frequency Systematic Trading team applying statistical and machine learning methods to build trading models. Contribute across the full strategy lifecycle from research to production code.
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.
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.
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