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Quantitative Risk Manager

4 months ago

UK, UK, United Kingdom Barclay Simpson Full time

If you’re a self-motivated Risk Manager & Researcher; with a very strong quantitative background and experience that includes risk management of systematic investment strategies; we’d love to hear from you.


Our client is an active investment management firm who have an exciting opportunity for a Quantitative Risk Manager with good python skills and experience managing equity market neutral, high-frequency or short-term trading strategies.


  • This is a permanent role based in London. A dynamic and friendly team offering a good work life balance and collaborative working environment. 3 days in the office and 2 WFH.
  • Salary £130k and possible visa sponsorship for the right candidate.


This exciting opportunity will suit an individual with intellectual curiosity and an interest in working in Quantitative Research within a collaborative environment and be involved with research and development of new risk analytics.

Key Responsibilities:

  • Monitor and manage risk and work with all areas within the business to resolve risk issues as they arise
  • Assist in building out the broader risk framework and analytical infrastructure – including internal risk models and code
  • Conduct research into new risk measurement and management techniques
  • Further develop the risk management framework and broaden awareness and good risk culture across all functions
  • Reporting relevant risk data and information to key stakeholders – both internal and external
  • Training and support for all members of the wider risk team and to other areas within the firm


Key Skills & Experience:

  • A minimum of 2 years’ experience in risk management or development of quantitative investment strategies, with a preference for experience in managing equity market neutral, high-frequency or short-term trading strategies
  • In-depth knowledge of financial markets across major asset classes
  • Advanced understanding of portfolio risk modelling and risk management techniques
  • Strong financial and analytical skills
  • Advanced Python or similar programming skills
  • Excellent communication skills
  • Very strong academics including masters degree or equivalent in a highly mathematical subject


If you meet the key skills and required experience above please get your application across today.