Quantitative Analyst

About Us

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

Kindred 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, Kindred is your playing field.

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

The role

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 our Sportsbook Platform (KSP).

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

What you will do

• Hands-on contributor to sports modelling research and related product-driven workstreams.
• Research, develop and evaluate probabilistic pricing models across multiple sports.
• Contribute to product development, delivering independently once requirements are clearly set with relevant stakeholder.
• Carry out exploratory data analysis as part of modelling work, reporting back on findings and determining next steps.
• Contribute to model evaluation and backtesting to ensure pricing is of the highest possible quality.
• Work closely with the Quant Model Development team as part of efforts to productionise POC models and functionality.
• Work closely with the Quant Data Engineering team as part of efforts to build out data assets to support modelling work.
• Write 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.
• Support junior members of the Quant Research team.

Expected Attributes

• Experience in a similar role in the sport betting industry.
• Knowledge of machine learning algorithms and/or statistics.
• Demonstrable experience applying statistical modelling techniques to sporting events.
• Intermediate programming skills in Python and SQL.
• Excellent skills manipulating, exploring and analysing data, including with libraries such as pandas, Numpy and Scipy.
• Experience interacting with databases.
• 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 team and with broader stakeholders
• Proactive learner including desire to grow technical skillset and develop personally.
• Confident seeking advice and coaching from experienced team members.
• Well-organised and able to prioritise effectively.
• Able to communicate decisions and recommendations based on analysis.
• Ability to deal with uncertainty and flexibility to learn by iteration.

Desirable Attributes

• Masters/PhD in STEM subject.
• Understanding of functional and object-oriented programming paradigms.
• Experience with Bayesian models, Markov chains and multivariate time-series modelling.
• 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.