Quantitative Analyst - Systematic Fund Quantitative Analyst - Systematic Fund …

Investment Management Partners
in London, England, United Kingdom
Permanent, Full time
Last application, 02 Oct 19
Competitive
Investment Management Partners
in London, England, United Kingdom
Permanent, Full time
Last application, 02 Oct 19
Competitive
To be part of growing, well funded systematic fund. To do excellent quantitative research in systematic strategies within credit.

Our client is an exciting and fast growing quantitative fund. They are extremely well-backed by their investor base and expanding rapidly. This is a fantastic opportunity for a candidate to not only work for an exciting firm but also have autonomy of their own area as well. 

 

KEY TASKS AND RESPONSIBILITIES:

  • Developing and implementing quantitative analysis across various major asset classes. 
  • Develop & implement quantitative models to support the firm’s investment process 
  • Work across organisation to develop strong processes around new models
  • Synthesise conclusions based on analysis, to be presented to the CIO. 

 

QUALIFICATIONS AND EXPERIENCE:

ESSENTIAL

  • Hands-on expeirence as a Quantitative Analyst or Quantitative Trader in a hedge fund or investment management firm
  • Academic background in statistics, econometrics, maths, mathematical finance, or appropriate quantitative field
  • Experience in a quantitative area in financial markets or similar (e.g. financial experience plus a background in data analytics in a business environment)
  • Good programming ability in suitable language and/or experience with a statistical package (Stata, R, matlab, etc)

DESIRABLE

  • Knowledge of hedge fund systematic strategies extremely desirable
  • Knowledge of credit trading

COMPETENCIES:

  • Team work and communication – will need to work with a cross functional team and ultimately influence and gain credibility within the organization
  • Proactive and self motivated – as a subject matter expert, will need to be driving use of skill set in the business
  • Innovative and solutions orientated – goal is to create novel and implementable methodologies despite challenges in data quality

 

 

 

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