Quantitative Analyst

FDJ UNITED; City Of London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading sports data company in the UK is seeking a Quantitative Model Developer to focus on probabilistic sports pricing models. The role involves leading development efforts, collaborating with Engineers, and expanding modeling capabilities for various sports including basketball and football. Ideal candidates will have extensive experience in sports modeling, strong programming skills, and familiarity with cloud environments like AWS. Join us to help shape the future of gaming.

Qualifications

• Extensive commercial experience in similar sports modelling roles.
• Advanced programming skills in a relevant language.
• Experience deploying code within production environments.

Responsibilities

• Research, develop and refine probabilistic pricing models.
• Contribute to BetBuilder models for sports.
• Build relationships with System Engineers and Architects.

Skills

Machine learning algorithms

Bayesian models

Programming skills

Communication skills

Decision making

Education

Masters/PhD in STEM subject

Tools

AWS

Scikit-Learn

Tensorflow

PyTorch

Spark

Job description

The Quant Team at FDJ United is focused on developing quantitative sport models, taking models from prototype to production. The team is an important component of the vision for the future evolution of the FDJ United Sportsbook Platform.

Responsibilities

• Play a key technical role in researching, developing and refining probabilistic pricing models across multiple sports, including basketball and tennis.
• Contribute to the development of BetBuilder / same game accumulator models for these sports.
• Expand existing capabilities for modelling player props across multiple sports, including football and basketball.
• Take a lead role in scaling the Quant Team's ability to evaluate and/or backtest sport models.
• Own technical aspects of model development, interpreting requirements and delivering independently while maintaining alignment with senior team members.
• Solve challenging problems where multiple potential solutions exist.
• Make key technical contributions to tools that assist traders in offering odds to customers.
• Work collaboratively with Quant Model Engineers to productionise models.
• Work collaboratively with Quant Data Engineers to build out data assets.
• Build strong relationships with System Engineers and Architects.
• Write high‑quality code that follows best practices and facilitates collaboration and re‑usability by other team members.
• Promote work and contributions for use within the team and the wider business, through conversations, reports, blog posts, showcases and presentations.
• Coach and support members of the Quant Research team, helping them up‑skill and setting examples through work & behaviours.
• Dedicate time for investigating new techniques & methodologies.
• Adhere to Governance, Risk & Compliance (GRC) obligations.
• Identify & raise any non‑compliance incidents promptly.
• Challenge processes, policies & projects that negatively impact compliance within the Group.
• Complete all mandatory compliance training.
• Reach out to Compliance Teams if unsure of any obligations or requirements are unclear.

Qualifications

• Extensive commercial experience in similar sports modelling roles, with a track record of delivering algorithmic data‑driven products to production.
• Extensive knowledge of machine learning algorithms and tooling.
• Experience with Bayesian models, Markov chains and multivariate time‑series modelling.
• Advanced programming skills.
• Experience deploying code within production environments and applying software development best practices such as version control, unit testing, linting and CI/CD.
• Experience deploying software within cloud‑based environments, ideally AWS.
• Excellent communicator, both written and verbal, able to explain complex topics to non‑specialists.
• Well‑organised with the ability to make well‑informed decisions based on data and to prioritise effectively.
• Confidence to make clear recommendations to support decision making (e.g., around project priorities and planning).
• Able to interact constructively with colleagues in the team and a broad range of stakeholders.
• Able to operate in a fully autonomous manner.
• Ability to deal with uncertainty and flexibility to learn by iteration.

Desirable Attributes

• Masters/PhD in STEM subject.
• Experience with simulation approaches for sports models, especially within the context of BetBuilder products.
• Experience with player prop modelling.
• Experience with probabilistic programming and machine learning libraries such as Stan, PyMC3, Scikit‑Learn, Keras, Tensorflow or PyTorch.
• Experience with big data technologies such as Spark.
• Programming skills in a statically typed language such as Scala, C++, Rust or Java.
• Understanding of software design patterns.

At FDJ United, we don't just follow the game, we reinvent it. Join us and help shape the future of gaming.