Quantitative Researcher
Quantitative Researcher – Sports betting hedge fund - London
*Please note this role cannot sponsor. Please do not apply if you are seeking sponsorship*
Quantitative Researcher is required for one of the leading providers of sports betting brokerage software in the world. The successful candidate will be joining the team who is responsible for developing and managing statistical models and probabilistic frameworks that predict horse racing outcomes and trade them optimally. Your work will have a direct, measurable impact on whether we make money. You'll have real ownership over what you build, how you build it, and whether it works.
As Quant Researcher you will need:
- 2+ years commercial experience working in building models or market data.
- 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
- Good python programming knowledge is required
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
- Competitive salary and significant bonus potential (up to 30%).
- 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.