About the company
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.
Job Summary
What you'll do:
šMachine learning development: Build the team's proprietary end-to-end machine learning pipeline. Work extensively with quantitative researchers to understand requirements and constraints, implement proprietary ML features and algorithms, and continuously improve model design, tools, and infrastructure. šMicrostructure research: Develop tools to enhance research on market microstructure, collaborating with researchers to generate and analyze key features. šPortfolio optimization: Design a portfolio optimization system to support comprehensive portfolio management strategies. šData Pipeline and System Management: Engage in full-cycle development, including research, coding, testing, and deploying systems into production. Provide direct support to end users, troubleshoot issues, and manage system upgrades.
Skills Youāll Need:
š5+ year track record of solving challenging problems through coding with real metrics & impact in industry and/or academia. šPassion for building efficient, modular software to tackle challenging problems. Experience is a plus, but a strong desire to learn and grow is essential. šStrong software development skills in Python and/or C++. šStrong learning ability, intellectual curiosity, versatility, and originality combined with a pragmatic outlook. šAbility to reason through quantitative problems and communicate effectively with quantitative researchers. šReliable and predictable availability to ensure smooth operations of production systems. šOver two years of experience working with industrial grade codebases using compiled languages such as C++ is advantageous. šFamiliarity with high-performance computing (HPC) and distributed large-scale model training is a plus.
