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As a member of the Quant Team, you will join an exciting environment, predicting outcomes of professional sports on behalf of our clients. We focus on football, baseball, basketball, cricket, tennis, American football, ice hockey and horse racing.
In this role, you will be the main quant working on Tennis and will be responsible for developing statistical models for both pre-match and in-play. You will also support research into other sports, as well as investigate how our predictions can be leveraged to improve profitability and the overall commercial performance.
Furthermore, you will play a key role in developing and supporting the reliable production of high-quality predictions for our clients. You'll have plenty of autonomy to execute your models from idea to code to validation to (hopefully) deployment, integrating your well documented and tested code into our internal libraries.
We highly value the personal development of our team members, and you will therefore be able to allocate dedicated time to improve your skills and gain the necessary experience that will enable you to progress into more senior roles.
The atmosphere is a collaborative academic one with peer reviews, research talks, and the opportunity for further education. Unlike academia though, the market is there to give immediate feedback on how good your model is. This makes the job challenging but also very exciting.
While we are open to applications from anyone who meets the minimum requirements, we would be especially keen to hear from applicants with more substantial research experience for this particular role.
Key Responsibilities
Required
Preferred
What you can expect in return – Our Benefits
From Day One