Jump Trading
Open Positions at Jump Trading
39 open positions
Join Jump Trading’s APAC C++ team to build high-performance live trading, risk, backtesting, and post-trade systems. This internship offers hands-on production ownership across trading, research, and business infrastructure.
Join Jump Trading’s APAC Python team as a Campus Software Engineer Intern building production data pipelines, trading infrastructure, analytics platforms, and post-trade systems. You’ll work directly with trading, operations, finance, and research teams while developing software used across global markets.
Join Jump Trading’s APAC Python team as an intern building production data pipelines, trading infrastructure, analytics platforms, and post-trade systems. You’ll work directly with trading, operations, research, and finance teams on systems processing large-scale market and trading data.
Join Jump Trading’s APAC C++ team to build high-performance live trading, risk, backtesting, and post-trade systems used in production. This internship offers hands-on ownership of systems processing market data and billions of trading-related data points.
Data Engineer responsible for building and evolving Jump Trading’s core data platform, including reference data, market datasets, and the firm’s instrument and security master. The role partners with researchers, traders, vendors, and internal stakeholders to deliver accurate, scalable data for research and trading.
Trading Production Engineer responsible for keeping a global quantitative trading environment reliable during U.S. trading hours. The role combines production monitoring, troubleshooting, automation, and close collaboration with researchers and software engineers.
Senior Software Engineer building and optimizing Jump Trading’s algorithmic trading platforms and scalable infrastructure. The role combines C++ or Python development with deep systems expertise and cross-functional collaboration across engineering, networking, and trading teams.
Quantitative Developer supporting a global research and trading team by stabilizing production pipelines, resolving live-system issues, and improving the performance of ML and GPU workloads. The role combines software development, production engineering, monitoring, and hands-on trading operations.
Conduct cutting-edge deep learning research for quantitative finance, taking machine learning projects from concept through production. The role combines AI research, high-performance computing, GPU optimization, and latency-sensitive deployment.
Build state-of-the-art AI/ML systems for quantitative finance, from HPC training pipelines to low-latency production inference. This full-time campus role combines advanced machine learning engineering, GPU programming, and collaboration with researchers and trading teams.
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