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Quantitative Developer; Global Quant Trading Firm

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Venture Search
Full Time position
Listed on 2026-02-10
Job specializations:
  • Software Development
    Data Scientist, Software Engineer
Job Description & How to Apply Below
Position: Quantitative Developer (Global Quant Trading Firm)
Location: Greater London

Venture Search has partnered with a leading global quantitative trading firm, that is seeking a Quantitative Developer to join its London office. The successful candidate will work closely with quantitative researchers and traders to build, enhance, and support the software platforms that power systematic trading and research. This role combines strong software engineering with quantitative problem-solving in a fast-paced, collaborative environment.

Responsibilities
  • Design, develop, and maintain high-performance software used in quantitative research and trading
  • Collaborate with quantitative researchers to product ionise models and research tools
  • Build and maintain data pipelines for large-scale market and reference data
  • Develop backtesting, simulation, and analytics frameworks
  • Contribute to trading, execution, and risk management systems
  • Optimise system performance, reliability, and scalability
  • Support live trading systems and participate in debugging and issue resolution
  • Follow best practices in software development, testing, and documentation
Required Qualifications
  • Strong programming skills in Python
    , C++, or C#
  • Solid foundations in computer science, including data structures and algorithms
  • Experience working with large datasets and time-series data
  • Familiarity with Linux/Unix environments and version control tools (e.g., Git)
  • Strong analytical thinking and problem-solving skills
  • Ability to work effectively with researchers and traders in a collaborative setting
Preferred Qualifications
  • Experience in quantitative trading, market making, or financial technology
  • Understanding of financial markets, derivatives, or market microstructure
  • Experience with low-latency or performance-critical systems
  • Knowledge of databases (SQL/No

    SQL) and distributed systems
  • Degree in Computer Science, Engineering, Mathematics, Physics, or a related quantitative field
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