Python Engineer | Python Performance Design, build, and improve the research and production infrastructure that underpins Jump's trading efforts Work across a hybrid Python/C++ environment, balancing researcher usability with performance-critical systems development Partner closely with quantitative researchers and traders to translate research workflows, models, and ideas into scalable, maintainable software Develop foundational libraries, backend systems, and workflow tooling used to support strategy research, testing, and deployment Improve system performance, algorithmic efficiency, and scalability across distributed and cluster-based compute environments Own projects end to end, from design and implementation through testing, rollout, and ongoing improvement Contribute to the evolution of the platform as the team expands its research capabilities and compute infrastructure
At least 5+ years of professional software engineering experience in Python Experience designing, analyzing, and implementing highly algorithmic code Experience building production systems in Linux environments Strong understanding of data structures, algorithmic complexity, and efficient implementation Experience with concurrent and distributed systems Familiarity with cluster, cloud, or other large-scale compute environments Self-directed, intellectually curious, and comfortable taking ownership of meaningful technical problems Minimum academic qualification: Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Physics, or equivalent Background in research infrastructure, high-performance computing, distributed systems, or performance engineering Experience improving bottlenecks, scalability, or migration paths from researcher-friendly tooling into higher-performance systems Ability to communicate technical tradeoffs clearly with both engineers and quantitative users Bonus skills: Experience with Python/C++ interoperability and library development Ability to work effectively with quantitative researchers and translate mathematical or theoretical ideas into practical software Exposure to time series analysis, optimization, simulation, numerical methods, or other quantitative workflows
Private Medical, Vision and Dental Insurance Travel Medical Insurance Group Pension Scheme Group Life Assurance and Income Protection Schemes Paid Parental Leave Parking and Commuter Benefits
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