Our Client has built as highly respected Sportsbook product and are set to revolutionise in-play real time betting and is looking to hire a Predictive Modelling - Quantitative Analyst within there Data science team in London. You’ll deal with the complex questions about sports betting and online gaming. You’ll create and improve the performance of the customer profiling and mathematical models within the company.
Develop and enhance mathematical and probability models for customer profiling, lifecycle and sports models
Create mathematical supervised learning models by collecting information from bookmakers, agents, knowledge carriers and databases
Review business performance (identify betting patterns/model or trading ops issues) as well as performance of existing models and come up with recommendations and new approaches where required, sometimes in ambitious timelines (what went well, what could be improved).
Be the connector: explain mathematical models to non-mathematicians in the product, IT and marketing teams so that they can implement your models into real live products.
Be the link to the trading as well as marketing customer segmentation
Analyse complex data sets and processes in order to understand, identify and monitor key factors which can improve KPIs and drive the business forward, draw insights and conclusions, recommend solutions and present it to business
Key skills and experience required
You will be given the freedom to try out your own ideas, using the software and tools you deem appropriate, but with support and mentoring from an experienced team.
University degree (ideally PhD) in Mathematics and/or some field in applied mathematics such as statistics, control theory or theoretical physics.
Knowledge of R, Python, SQL and some other statistical software (for example SAS, SPSS) is an advantage But not essential
Ideally, you’ve already worked with quantitative finance modelling or similar (experience with sports betting is a big plus)
Able to learn new domain fields quickly and being able to apply your knowledge and skills to new challenges immediately.
Ability to turn complex concepts and business questions into actionable recommendations
Strong communication skills to communicate results of analysis and educate consumers of the findings including presentations in PowerPoint.
Ability to deliver high quality work under pressure of tight deadlines