Jump Trading Group is committed to world-class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting-edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivizing collaboration and mutual respect. At Jump, research outcomes drive more than superior risk-adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.
Our team is a group of quantitative researchers, engineers, and ML experts leading reinforcement learning research and trading at Jump. Our mission is to combine emerging techniques and original research to learn optimal decision-making policies from financial market data and monetize them globally. We are building the future of ML-powered trading through breakthrough reinforcement learning, and we're looking for an exceptional Research Scientist/Research Engineer to join our team.
What You’ll Do
As a Research Scientist/Research Engineer working on RL, you'll be at the forefront of applying reinforcement learning to markets. You'll conduct original research and own the systems that turn it into production trading: designing and evaluating policy architectures, reward formulations, and objective horizons with rigorous out-of-sample benchmarking; partnering with trading and research teams to source, integrate, and validate their alpha signals within the RL framework; ensuring simulation fidelity against live trading by modeling market microstructure, fill dynamics, liquidity, and latency; building efficient tooling to store, process, and analyze very large volumes of market and signal data; and communicating findings to technical and trading audiences. This isn't incremental optimization; we're pushing the boundaries of what reinforcement learning can do at scale, where your improvements directly impact live trading.
Other duties as assigned or needed.
Skills You’ll Need
- 5+ years of experience developing reinforcement learning and/or deep learning systems with measurable impact in industry and/or academia
- Depth in reinforcement learning, including experience designing reward formulations, policy architectures, and evaluation, and taking RL methods from research into production
- Proficiency in Python and/or C++
- Familiarity with ML libraries/frameworks such as PyTorch (preferred), TensorFlow, and/or JAX
- Strong foundation in mathematics and statistics
- PhD or Master's degree in Computer Science, Machine Learning, Robotics (or a related subject)
- Strong publication record at ICML, ICLR, AAAI, NeurIPS, CVPR, or equivalent
- Ability to thrive in a collaborative, team-oriented environment
- Creative thinkers who are driven, self-motivated, and eager to solve challenging problems
- Reliable and predictable availability
- Excellent written and verbal communication skills in English
Benefits
- Discretionary bonus eligibility
- Medical, dental, and vision insurance
- HSA, FSA, and Dependent Care options
- Employer Paid Group Term Life and AD&D Insurance
- Voluntary Life & AD&D insurance
- Paid vacation plus paid holidays
- Retirement plan with employer match
- Paid parental leave
- Wellness Programs
Skills Required
- 5+ years of experience developing reinforcement learning and/or deep learning systems with measurable impact in industry or academia
- Deep expertise in reinforcement learning, including reward formulation, policy architecture, evaluation, and production deployment
- Proficiency in Python and/or C++
- Familiarity with PyTorch, TensorFlow, and/or JAX
- Strong foundation in mathematics and statistics
- PhD or Master's degree in Computer Science, Machine Learning, Robotics, or a related subject
- Strong publication record at ICML, ICLR, AAAI, NeurIPS, CVPR, or equivalent
- Ability to work effectively in a collaborative, team-oriented environment
- Creative, self-motivated approach to solving challenging problems
- Reliable and predictable availability
- Excellent written and verbal communication skills in English
Jump Trading Group Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Jump Trading Group and has not been reviewed or approved by Jump Trading Group.
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Career-Linked Recognition & Rewards — Pay is considered very competitive for revenue‑adjacent and technical roles, with strong total packages when team performance is solid. Compensation structures align outcomes closely with impact, creating high satisfaction on strong desks.
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Healthcare Strength — Health coverage is described as comprehensive across medical, dental, and vision, with wellness programs and employer‑paid life/AD&D also highlighted. These offerings are portrayed as robust and compare favorably with similar employers.
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Retirement Support — A 401(k) with employer match is repeatedly noted, with mentions of a pension as well. Together these indicate strong retirement backing relative to many employers.
Jump Trading Group Insights
What We Do
Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.
