Junior Quantitative Analyst

About Us

At FDJ UNITED, we don't just follow the game, we reinvent it.

FDJ UNITED is one of Europe’s leading betting and gaming operators, with a vast portfolio of iconic brands and a reputation for technological excellence. With more than 5,000 employees and a presence in around fifteen regulated markets, the Group offers a diversified, responsible range of games, both under exclusive rights and open to competition. We set new standards, proving that entertainment and safety can go hand in hand. Here, you’ll work alongside a team of passionate individuals dedicated to delivering the best and safest entertaining experiences for our customers every day.

We’re looking for bold people who are eager to succeed and ready to level-up the game. If you thrive on innovation, embrace challenges, and want to make a real impact at all levels, FDJ UNITED is your playing field.

Join us in shaping the future of gaming. Are you ready to LEVEL-UP THE GAME?

The Quant Team 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 Kindred Sportsbook Platform (KSP).

The Quant Team is split into three workstreams: Quant Research, Quant Engineering and Quant Model Development. We are looking to recruit a talented Junior Quantitative Analyst to join the Research team to contribute to our sports modelling efforts. Your work will help to deliver functionality, tools and models to support our broader objectives.

Responsibilities

• Research, develop and assess probabilistic pricing models across multiple sports.

• Analyse and prepare data and assist with data quality for use in models and model evaluation tools.

• Write code that follows best practices and facilitates collaboration and re-usability by other team members.

• Support the delivery of Quant Team projects by working with senior Quant Team members and broader stakeholders.

• Promote work and contributions for use within the team and the wider business, through conversations, reports and presentations.

Expected Attributes

• Commercial and/or academic experience in a similar role

• Interest in applying modelling techniques to sporting events

• Basic to intermediate programming skills in Python and SQL.

• Able to explain complex topics to non-specialists in an accessible manner.

• A problem-solving growth mindset with the ability to pick up new tools and concepts quickly.

• Able to interact in a constructive manner with colleagues in the Quant team

• Ability to deal with uncertainty, with the flexibility to learn by iteration.

• Ability to make well informed decisions based on data and to prioritise effectively.

Desirable Attributes

• Undergraduate, Masters or PhD degree in a STEM subject.

• Experience manipulating, exploring and analysing data sets using libraries such as pandas and using numerical and scientific libraries such as Numpy and Scipy.

• Experience with widely used probabilistic programming and machine learning libraries such as Stan, PyMC3, Scikit-Learn, Keras, Tensorflow or PyTorch.

• Exposure to cloud computing, ideally AWS.

• An interest in sports betting.

Our Way Of Working

Our world is hybrid.

A career is not a sprint. It’s a marathon. One of the perks of joining us is that we value you as a person first. Our hybrid world allows you to focus on your goals and responsibilities and lets you self-organise to improve your deliveries and get the work done in your own way.

Application Process

We believe talent knows no boundaries. Our hiring process focuses solely on your skills, experience, and potential to contribute to our team. We welcome applicants from all backgrounds and evaluate each candidate based on merit, regardless of personal characteristics as the age, gender, origin, religion, sexual orientation, neurodiversity or disability.