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Reinforcement Learning Research Engineer

  • Dependent on previous experience


We are looking for Masters/PhD level computational statisticians and data scientists to join our Quantitative Research team. Successful candidates will work on interesting Reinforcement Learning problems in order to help us achieve our mission, which is to establish sports betting as an alternative asset class for sophisticated investors.

Our Quantitative Research Team works to develop and implement statistical models for analysing and predicting the outcome of sporting events. We use the signals generated by these models to inform sports betting by professional traders. We currently model football and tennis and we are looking to extend our range to golf, cricket, basketball, American football and ice hockey. We have positions for candidates who have achieved a Masters and/or PhD in a subject that heavily utilises data science and machine learning. Candidates should have a Deep theoretical knowledge of Reinforcement Learning and practical experience of building Reinforcement Learning Systems.


Stratagem was founded in 2012 and represents the culmination of knowledge and expertise derived from a wealth of experience in both the financial markets and the sports betting industry. In 2015 the company was named one of the 20 Most Promising Sports Technology Solutions Providers by CIO Review.


We are seeking talented and motivated data scientists with a background or experience in reinforcement learning. You should have a good foundation of programming experience in a modelling / data analysis context, ideally in a production environment. You should be excited by intellectual challenges and confident enough to contribute ideas and challenge assumptions from your first day. You will work in group of high-achieving quantitative researchers who love sport and who love solving difficult problems. You will be able to demonstrate your abilities through tangible work and discrete projects, with constant feedback from real world events.

● Developing and prototyping new automated trading strategies via Reinforcement Learning

● Collaborating with researchers in leading universities and research labs. We have formal partnerships with several universities in the UK

● As a research scientist, you will be part of a small team conducting research in applying Reinforcement Learning to the sports betting markets.



■ Masters or PhD (preferred) in statistics, computer science, engineering or related field

■ 2+ years experience in working with large data sets in a related field (demonstrable)

■ Excellent theoretical knowledge and practical experience in Reinforcement Learning

■ Very strong familiarity with Python (preferred), R, Matlab, C/C++ or Java

■ Excellent written and oral presentation skills


■ Working knowledge of limit order books

■ Development of automated trading systems

■ Experience with market making in financial and/or sports betting markets.

○ Record of publishing in peer-reviewed journals



We respectfully note that we will not be retaining recruitment consultant for this position and will simply not reply to unsolicited applications or enquiries from such parties.