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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, horse racing and golf.
In this role, you will join the execution research team and will be focusing on devising automated betting strategies using our predictive models and algorithms used to market make / seed different bookmakers, market exchanges and predictions markets.
Market making strategies, liquidity, price, risk, order book, counterparties, market trend, trading signal, optimal time of placing bets, will be your topic of research, in the context of both pre match and in-running trading.
As it becomes increasingly important for the business to understand the information provided from clients through their actions, the role might also include analysing betting patterns and market behaviour.
This role combines rigorous statistical and mathematical modelling with production engineering. You will take models from research through to deployment, writing well-tested, documented code that integrates into our internal libraries. The atmosphere is collaborative and academic - peer reviews, research talks, and further education opportunities - but unlike academia, the market performance provides immediate feedback on model quality. This makes the job challenging but also very exciting.
You will have plenty of autonomy to develop your models from idea to code to validation to (hopefully) release. However, this autonomy operates within a structured framework: established coding patterns, weekly check-ins, high test coverage, and strict reproducibility standards.
While we are open to applications from anyone who meets the minimum requirements, we would be especially keen to hear from applicants with substantial market making experience and a demonstrable passion for betting markets.
Skills & Experience
Required
Technical
Working style
Preferred