Quantitative Developer (Top Tier Systematic Hedge Fund)

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 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