Quantitative Software Engineer (Python)

Harvey Nash Technology is hiring for a role focused on building a research-to-trading platform used to design, test, and deploy quantitative investment strategies.

• 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.

• 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.