Software Engineer, Trading Systems (C++)

Responsibilities

• Architect and evolve the trading platform to support the changing needs of quantitative research, simulation, and production trading, with particular emphasis on market data and execution systems.
• Partner closely with quantitative researchers, traders, and software engineers to design, implement, and deploy systematic trading strategies.
• Design and develop high-performance trading infrastructure responsible for collecting market data, processing trading signals, and routing orders to exchanges around the world.
• Create frameworks and tools that enable researchers to rapidly prototype, backtest, analyze, and deploy new trading strategies.
• Develop scalable systems that provide efficient access to live and historical market data for research, simulation, and production use cases.
• Collaborate with researchers to translate quantitative models into robust, maintainable production systems. Lead development efforts across the strategy lifecycle, from research tooling and data infrastructure to production deployment and monitoring.
• Optimize trading and research systems through low-latency software design, network programming, performance analysis, and systems-level engineering.
• Create tools and analytics that help identify market patterns, evaluate strategy performance, and improve trading decisions.
• Build risk management, monitoring, and performance attribution systems used by researchers and traders. Investigate production trading behavior and partner with strategy teams to diagnose performance, execution, and market data issues.
• Contribute to the architecture of shared platforms that improve productivity across research, development, and trading teams.

Qualifications

• Degree in Computer Science, Engineering, Mathematics, Physics, or a related technical field.
• Strong foundation in algorithms, data structures, distributed systems, and software design.
• Excellent programming skills in C++, with experience in Python strongly preferred.
• Interest in financial markets, systematic trading, and quantitative research workflows.
• Experience building high-performance systems, data-intensive applications, or low-latency software. The ability to collaborate effectively with quantitative researchers, traders, and engineers to solve complex technical and analytical problems.
• Strong analytical and problem-solving abilities with a focus on both correctness and performance.
• Comfortable managing multiple projects and priorities in a fast-paced environment.
• Strong communication skills and a collaborative mindset.

Nice to Have

• Experience with market data systems, exchange connectivity, or electronic trading platforms.
• Experience building research platforms, backtesting systems, simulation frameworks, or quantitative analytics tools.
• Familiarity with statistical analysis, machine learning, or quantitative modeling techniques.
• Experience working in Linux environments and developing distributed systems.
• Knowledge of Python or Rust

Benefits

• Generous paid time off policies
• Savings plans and other financial wellness tools available in each region
• Hybrid working opportunities
• Free breakfast, lunch, and snacks daily
• In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more)
• Company-sponsored sports teams and fitness events (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR and more)
• Volunteer opportunities and charitable giving
• Social events, happy hours, treats, and celebrations throughout the year
• Workshops and continuous learning opportunities

Pay

Anticipated New York annual base salary range $120,000 - $285,000, plus eligible for discretionary bonus

Schedule

Hybrid working opportunities