Quantitative Software Engineer (Python)
Harvey Nash Technology
Quantitative Software Engineer
Warsaw, hybrid.
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.
Responsibilities
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.
Requirements
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.