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 fear, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentives collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our business, fund cross-functional initiatives, and partner with leading global research organizations and universities to solve problems. We're 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 execute closely with the team's researchers and engineers to architect, build, and maintain the team's 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 develop software tools to support the algorithm investing automation and configuration. As a new business team, we're looking for someone who thinks about solving problems and owning their solutions - you'll be part of a cutting-edge team leveraging state-of-the-art technology and data, while working in a low-latency environment with opportunities for employee growth. What you'll do: - You'll contribute to one or more of the following projects: - Machine learning, optimization and tools ecosystem - Build the complete ML pipelines for feature generation and model training - Research and development of the algorithm’s R&D. All of the above is expected to cover all research in model development, and

Quantitative Developer | Trading team