Quantitative Developer | Trading team

## Responsibilities - Collaborate closely with the team’s researchers and engineers to architect, build, and maintain the team’s research infrastructure and production systems. - Work closely with quantitative researchers 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. - Develop software to automate and improve deployment, configuration, validation. - Contribute to one or more of the following projects: - Machine 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. - 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. ## Requirements - 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. ## Nice to Have - Familiarity with high-performance computing (HPC) and distributed large-scale model training. ## Benefits - 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.