About this role

Quantitative Software Engineer (Python) Harvey Nash Technology Daily tasks: - 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. Musts: 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. Join a team building a research-to-trading platform used to design, test, and deploy quantitative investment strategies.

This is a hands-on engineering role focused on high-performance analytics, market data, and production trading infrastructure .

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