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Quantitative Researcher

3 months ago

London, United Kingdom Venture Up Full time

Senior Quantitative Researcher – Sports betting Hedge fund – London


All the relevant skills, qualifications and experience that a successful applicant will need are listed in the following description.

Skills: Python stack (numpy, pandas etc.), R, TensorFlow.

*Please note this role cannot sponsor. Please do not apply if you are seeking sponsorship*

Job Summary

Senior Quantitative Researcher is required for exciting and progressive Sports betting Hedge fund Company with offices in London and Leeds. You will be developing statistical models to compute the probabilities of outcomes in various sports. Sports modelling is their core expertise and the company is structuring the company around creating the best possible technical and cultural environment to enable you to rapidly explore and test alternative models. You will join a highly skilled and experienced team answering a variety of complex sporting questions. You will work on building probabilistic models, the quality and evolution of which are central to the company’s success. You will find innovative ways of extracting information from various sporting and market data sources. Modelling and predicting sports outcomes is a uniquely challenging field, and you will have plenty of opportunities to use your experience, judgement and imagination to solve difficult problems.

As Quantitative Researcher you will need:

· 5+ years expereince with US sports (Basketball and/or baseball experience) in sports betting industry.

· Statistics graduate/post-graduate

· Electronic Trading Experience

· Python, TensorFlow

· Straight As at A level (or equivalent)

· Kaggle profile (or other practical statistical experience)

The Opportunity

· Opportunities to progress your quantitative researcher career.

· Working in GLMs, BMMs, Kalman filters, MCMC and the TrueSkill Ranking system

· Working with some of the brightest Quants within the industry.