Quantitative Software Engineer (Python)

• Degree in Computer Science, Engineering, Mathematics, Physics, or a related quantitative field.
• 3+ years of software engineering experience in production environments.
• Strong programming skills in Python and modern C++.
• Experience with SQL, relational databases, and Linux development.
• Experience building, deploying, and supporting production systems.
• Strong performance tuning, debugging, and optimization skills.
• Understanding of financial markets (equities, futures, FX) and market data usage.
• Strong analytical, problem-solving, and communication skills.

Nice to have:

• Experience working directly with quantitative research or trading teams.
• Background in low-latency or high-throughput systems.
• Experience with large-scale data processing and analytics platforms.

• Develop and maintain C++ and Python applications supporting quantitative research and trading.
• Build analytics, pricing libraries, and tools for backtesting, simulation, and production trading.
• Design and optimize data pipelines handling large historical and real-time market datasets.
• Develop and support production services, including testing, deployment, and monitoring.
• Improve platform scalability, reliability, and performance.
• Partner directly with researchers and investment professionals to deliver robust, production-grade solutions.
• Contribute to technical roadmap, automation, and engineering best practices.

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