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Senior Quantitative Analyst

London, United Kingdom, £ £ - Annual Annual, Permanent


Senior Quantitative Analyst - Competitive Salary - London

The Role

Do you possess a PHD or other post-graduate qualification in statistics, machine learning or similar? Do you have strong programming skills and experience using advanced statistics and modelling techniques? If so, we have an exciting opportunity for you.

We are a technology company, with a focus on predictive sports modelling and data collection, looking to appoint an innovative and self-driven Senior Quantitative Analyst to conduct statistical analysis of and developing predictive models for sports.

Key Responsibilities

The key responsibilities of a Senior Quantitative Analyst include, but are not limited to:

  • Build and maintain predictive models from large sports datasets.
  • Research and apply novel modelling techniques.
  • Test model performance.

The Company

Pythia Sports is a technology company with a focus on predictive sports modeling and data collection. We are passionate about the challenges that sports analysis brings; from continuously expanding data sets to evolving playing tactics and styles. These developments demand that we never stand still and that we search hard uncover new angles and approaches to try. The work requires flexible and agile mindsets to help contribute to new ideas and to accurately implement them in our predictive models.

The Person

The key skills and qualities of a Senior Quantitative Analyst are:

  • Experience using advanced statistics and modelling techniques - preferably in sports field.
  • PhD or other post-graduate qualification in statistics. machine learning or another mathematical/scientific discipline (or equivalent experience as Quantitative Analyst).
  • Have a deep understanding of the data, its limitations and meaning, including the investigation of data validity.
  • Have awareness of the limitations of any model output.
  • Have an understanding of statistical robustness and validity.
  • Strong programming skills, with a preference for (but not limited to) Matlab, Python and R.
  • A track record of using data to solve complex problems.
  • A knowledge and interest in sport will be helpful.
  • Experience working with cloud computing (desirable).

The Benefits

  • Relaxed atmosphere
  • Monthly social events
  • Free healthy snacks, fruits, coffee, tea and beer in the office
  • Private health and dental insurance
  • Cycle to work scheme
  • Enhanced paternity and maternity leave
  • Enhanced sick pay
  • Increased holiday allowance
  • Discretionary annual bonus
  • Exciting development opportunities
  • Currently working from home, we plan to be back in office 1-2 days a week

If you are keen on joining this exciting, forward-thinking company and taking the next step in your career, then please click the apply now button to find out more.

Job Details

Not Specified
London, United Kingdom
£ £ - Annual Annual