Quantitative Analyst

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).