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Graduate/Junior Quantitative Analyst – Sports betting - London
*Please note this role cannot sponsor. Please do not apply if you are seeking sponsorship*
Job Summary
Graduate/Junior Quantitative Analyst is required for one of the leading providers of sports betting brokerage software in the world. The company is based in London and offers flexible working hours. The successful candidate will be joining the team who is responsible for developing and managing a range of proprietary models and algorithms that run at the heart of the bet-placement platform. You will be part of a small team, working in a relaxed environment, and using a range of modern open-source tools like Jupyter, PyTorch and Spark. You will be working with terabytes of data, and will be part of a team that can quickly run experiments at scale in the markets, allowing the company to test their hypotheses in a live environment.
As Graduate Quantitative Analyst you will need:
- A 1st class mathematics-based degree from a top university or a 2:1 from Oxbridge
- A solid understanding of the fundamentals of statistical prediction and probability theory including, for example, an in-depth knowledge of regression and model fitting
- Intellectual curiosity, creativity and confidence to try new approaches
- An interest in sports or competitive games
- Postgraduate qualifications in statistics are preferred.
Responsibilities and Duties
- Your day-to-day duties and responsibilities will include, but won't be limited to building and improving sports prediction models
- To research recent advances in Bayesian updating to better extract signals from noisy data
- To design and build your own models using your own ideas
- To work closely with expert traders and developers to improve your models
The Opportunity
- Opportunities to progress your quantitative developer career
- Working in GLMs, BMMs, Kalman filters, MCMC and the TrueSkill Ranking system
- Working with some of the brightest Quants within the industry.