Quant Equity Research/Risk

1 month ago


London, UK, United Kingdom Barclay Simpson Full time

Our client is an active investment management firm who have an exciting opportunity for a Quant Equity Analyst with strong python skills and systematic equities experience who is interested in Risk.


An opportunity to work within a collaborative environment within quant research and also be involved in developing of new risk analytics and managing / developing new investment strategies.


Full details and preferred skills are listed below however the client will also consider a candidate without any of the direct experience mentioned but who has a very strong general quantitative background with at least some knowledge/experience of the quant equity concepts they work with (factor modelling, statistical analysis of systematic L/S equity strategies etc.)


  • This is a permanent role based in London. A dynamic and friendly team offering a good work life balance. 3 days in the office and 2 WFH.
  • Salary £130k with competitive bonus and benefits.


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 5 years’ experience in risk management or quantitative research, with 2 years focusing on systematic equities. With preference to 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


Apply today for a confidential chat.



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