Quantitative Developer (Global Hedge Fund)

Venture Search; Greater London; On-site; GBP 100,000 - 140,000; Full time

Job summary

A leading systematic hedge fund in the UK is seeking a Quantitative Developer to design, implement, and maintain trading systems. This role combines software engineering and quantitative research, focusing on building reliable tools for systematic investment strategies. Candidates should have strong programming skills in C#, Python, and C++, along with an understanding of data structures and algorithms. Knowledge in quantitative finance or financial technology is preferred, making this an excellent opportunity for tech-savvy finance professionals.

Qualifications

• Strong programming skills in C#, Python, and/or C++.
• Solid understanding of data structures, algorithms, and software engineering principles.
• Experience working with large datasets and time-series data.
• Familiarity with Linux/Unix and Git.
• Ability to collaborate with researchers and traders in a fast-paced environment.
• Strong problem-solving skills and attention to detail.

Responsibilities

• Design, develop, and maintain production-quality software for quantitative trading strategies.
• Partner with quantitative researchers to translate models into efficient, scalable code.
• Build and optimize data pipelines for market and alternative data.
• Implement backtesting frameworks, simulation tools, and research platforms.
• Enhance trading infrastructure including execution, risk, and monitoring systems.
• Improve performance, reliability, and scalability of existing systems.
• Collaborate with technology, risk, and operations teams to support live trading.
• Ensure best practices in software development, testing, and documentation.

Skills

C#

Python

C++

Problem-solving

Attention to detail

Time-series

Linux

Git

Education

Advanced degree in Computer Science, Engineering, Mathematics, or Physics

Tools

SQL

NoSQL

Git

Cloud platforms

Job description

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