Venture Search have partnered with a top-tier systematic hedge fund, that are looking for a Quantitative Developer to work closely with quantitative researchers and portfolio managers to design, implement, and maintain scalable, high-performance trading and research systems. The role sits at the intersection of quantitative research, software engineering, and trading, with a focus on building robust tools and infrastructure that support systematic investment strategies.
Responsibilities
* Design, develop, and maintain production-quality software for quantitative trading strategies
* Partner with quantitative researchers to translate models and research prototypes into efficient, scalable code
* Build and optimize data pipelines for market, reference, and alternative data
* Implement backtesting frameworks, simulation tools, and research platforms
* Enhance trading infrastructure, including execution, risk, and monitoring systems
* Optimize performance, reliability, and scalability of existing systems
* Collaborate with technology, risk, and operations teams to support live trading environments
* Ensure best practices in software development, testing, and documentation
Required Qualifications
* Strong programming skills in C#, Python and/or C++ (Java or other languages a plus)
* Solid understanding of data structures, algorithms, and software engineering principles
* Experience working with large datasets and time-series data
* Familiarity with Linux/Unix environments and version control systems (e.g., Git)
* Ability to work closely with quantitative researchers and traders in a fast-paced environment
* Strong problem-solving skills and attention to detail
Preferred Qualifications
* Experience in quantitative finance, systematic trading, or financial technology
* Knowledge of capital markets, derivatives, or market microstructure
* Experience with databases (SQL, NoSQL), distributed systems, or cloud platforms
* Exposure to backtesting frameworks, execution systems, or real-time trading platforms
* Advanced degree in Computer Science, Engineering, Mathematics, Physics, or a related field