Senior Quantitative Researcher

  • Highly Competitive + Generous Benefits
  • London, England, United Kingdom London England GB
  • Permanent, Full time
  • Non-disclosed
  • 18 Sep 18 2018-09-18

We are a world renowned quantitative global investment management company with more than $20bn in assets under management and over 200 employees globally. We are passionate about model building, data analysis, and the possibilities that they hold for building long term investment systems that evolve as markets change.

As a quantitative researcher you will be responsible for developing automated quant trading strategies using sophisticated statistical techniques.  The role will entail the leadership and management of statistical modelling projects as part of our research programme and, in time, responsibility for a significant theme of work within it. We are looking for individuals who are enthusiastic about taking a hands-on approach and collaborating with top technical talent in a collegial, meritocratic work environment characterised by teamwork and intellectual rigor.


  • Statistical modelling of financial and non-financial datasets, examining real-world data.
  • Leading research activities under the guidance of Research Directors.
  • Delivering high quality statistical research output against our research goals.
  • Create and test complex investment ideas and partner with our engineers to test your theories.
  • Attending internal lectures/workshops and presenting your research for peer review.
  • Collaboration with research colleagues.



  • A world-class mathematical/statistical research education (Masters/PhD).
  • Extensive experience in financial data analysis with a focus on a highly rigorous and technical approach to modelling.
  • Experience of building and running systematic trading strategies.
  • A background in statistical research for systematic investment management activities (returns forecasting, risk modelling, market impact modelling etc).
  • Team leadership experience is desirable.
  • Ability to tackle in-depth research projects and communicate complex ideas clearly.
  • Demonstrate intermediate skills in at least one programming language.