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
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