Senior Quantitative Analyst

1 month ago


London, United Kingdom BetRecruit Full time

Location: Remote and Office Based (London)

Sports Trading Network are delighted to offer this exciting new role of Senior Quantitative Analyst on behalf of our clients. We are looking for creative thinking and experienced individuals to join an already established in-house modelling team. This particular client is a fast growing technology company with a focus on predictive sports modelling and data collection.

The purpose of the role is to conduct statistical analysis of and developing predictive models for sports.

As a Quantitative Analyst you will:

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

Key Skills / Qualifications

  • 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)
  • 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).

Candidate Overview

The successful Quantitative Analyst will be an innovative, self-driven person with high levels of integrity. They will be working closely with local and remote teams and therefore need to be highly communicative, but also work well independently. They must be well organised and have the ability to handle multiple projects simultaneously.

Please apply along with a covering letter and any other supporting documents to enhance your application to steve@sportstradingnetwork.com

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