BettingJobs are currently recruiting for Quantitative Analyst for a leading sports betting syndicate based remotely in the UK.
Responsibilities:
* Build and maintain predictive models from large sports datasets.
* Research and apply novel modelling techniques.
* Test model performance.
* The role will often involve using mathematical models to calculate the expected chance of events happening in a sporting event. This information will then be used to create associated spread betting and fixed odds prices.
* You will use your coding abilities to apply these mathematical models within the sports applications, to allow our clients the opportunity to bet on a wide range of markets. This is mostly done in C#, with SQL coding used when interacting with the database.
* Due the nature of the sporting calendar, there will be the requirement to offer support outside regular working hours on occasion.
Requirements:
* 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).