Quantitative Development Expert

4 weeks ago


London, Greater London, United Kingdom Capital Markets Recruitment Full time
Job Overview:

We are seeking a skilled Quantitative Developer/Python Engineer to collaborate directly with our successful High-Frequency Trading (HFT) team at Capital Markets Recruitment.

This opportunity offers you the chance to work with one of the world's most successful hedge funds, collaborate with an exceptionally talented team operating in a hybrid approach, and earn market-leading compensation packages.

The ideal candidate will possess strong Python experience and be proficient in building real-time trading systems. A C++ background is also advantageous.

Main Responsibilities:
  1. Platform Enhancement: Develop, upgrade, and optimize our real-time HFT trading platform to ensure seamless execution of trades.
  2. Strategy Development: Work closely with experienced Traders to build out their new trading strategies, leveraging machine learning libraries for enhanced performance.
  3. Analytical Tool Creation: Build analytical tools to help manage portfolio risk, pre/post trading analysis, and performance attribution, providing valuable insights to the trading team.
  4. New Instrument Integration: Help on-board new instruments and backtest existing ideas on new instruments, ensuring seamless integration into our trading infrastructure.
  5. System Monitoring: Monitor system health and implement tools and techniques to enhance trading activity, ensuring minimal downtime and maximum efficiency.
Requirements:
  1. Coding Experience: 3+ years of hands-on coding experience building real-time trading systems, with a strong focus on Python development.
  2. Programming Skills: Strong experience with Python; machine learning libraries experience is highly desirable.
  3. Background: A C++ background is advantageous, with a solid understanding of object-oriented programming principles.
  4. Infrastructure Building: Experience building production infrastructure for signal generation, backtesting, and execution, ensuring scalability and reliability.
  5. Educational Background: Bachelors/Masters in Computer Science, Engineering, or related Quantitative discipline, with a strong foundation in mathematics and statistics.
Compensation Package:

$120,000 - $180,000 per annum, reflecting the company's commitment to attracting and retaining top talent.



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