Research ScientistResearch Engineer, Reinforcement Learning

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 were looking for an exceptional Research Scientist/Research Engineer to join our team.

What Youll Do

As a Research Scientist/Research Engineer working on RL youll be at the forefront of applying reinforcement learning to markets. Youll 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 isnt incremental optimization; were 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 Youll 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 Masters 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