Quantitative Developer | Trading team

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.

Were expanding our successful global equity stat arb business with the build out of a new team of quantitative researchers and developers focused on developing mixed-frequency (low/mid) strategies based out of Hong Kong. As a quantitative developer you will collaborate closely with the teams researchers and engineers to architect build and maintain the teams research infrastructure and production systems. You will work closely with the quantitative researchers on the team to create and improve research develop and build out trading infrastructure improve the scalability of the production systems while maintaining the production trading environment and troubleshooting problems and developing software to automate and improve deployment configuration validation. As a new team were looking for someone who enjoys open-ended problems and owning their solutions - youll be a part of a cutting-edge team leveraging state-of-the-art technology and data while working in a collaborative environment with opportunities for professional growth.

What youll do:

• Youll contribute to one or more of the following projects:
  • Machine learning development: Build the teams 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.
  • Microstructure research: Develop tools to enhance research on market microstructure collaborating with researchers to generate and analyze key features.
  • Portfolio optimization: Design a portfolio optimization system to support comprehensive portfolio management strategies.
  • Data 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 Youll Need:

• 5 year track record of solving challenging problems through coding with real metrics & impact in industry and/or academia.
• Passion for building efficient modular software to tackle challenging problems. Experience is a plus but a strong desire to learn and grow is essential.
• Strong software development skills in Python and/or C.
• Strong learning ability intellectual curiosity versatility and originality combined with a pragmatic outlook.
• Ability to reason through quantitative problems and communicate effectively with quantitative researchers.
• Reliable and predictable availability to ensure smooth operations of production systems.
• Over two years of experience working with industrial grade codebases using compiled languages such as C is advantageous.
• Familiarity with high-performance computing (HPC) and distributed large-scale model training is a plus.