Quantitative Software Engineer (Python) @ Harvey Nash Technology
Core
Building a research-to-trading platform to design, test, and deploy quantitative investment strategies using high-performance analytics and market data.
Role type
Senior IC quantitative software engineer (Python/C++)
Builds
Research-to-trading platform, analytics libraries, pricing tools, and production trading infrastructure
Domain
Financial technology / Quantitative trading
Deliverable
production ML models | product features | infrastructure
Required skills
Python, C++, SQL, Linux development, performance tuning, debugging, optimization, market data handling, system deployment
Preferred skills
Understanding of financial markets (equities, futures, FX), backtesting, simulation
Technologies
Python, C++, SQL, Linux
Responsibilities
Develop and maintain C++ and Python applications for quantitative research and trading; Build analytics, pricing libraries, and tools for backtesting and simulation; Design and optimize data pipelines for large historical and real-time market datasets; Develop and support production services including testing, deployment, and monitoring; Improve platform scalability, reliability, and performance; Partner with researchers and investment professionals to deliver robust solutions; Contribute to technical roadmap and engineering best practices