Job Description

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 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 the FDJ United Sportsbook Platform.

The Quant Team is split into two workstreams:

Quant Research and Quant Engineering. We are looking to recruit a talented Staff Quant Analyst to join the research team and contribute to our proprietary sports modelling efforts. Your work will help deliver functionality, tools and models to support our broader objectives.



Responsibilities

Play a key technical role in researching, developing and refining probabilistic pricing models across multiple sports, including (but not limited to!) 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 whilst 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 and behaviours.

Dedicate time for investigating new techniques and methodologies that can benefit the team and wider business.

Ensure that you adhere to the Governance, Risk & Compliance (GRC) obligations for your role.

Identify and raise any non-compliance incidents promptly to your line manager.

Challenge processes, policies and projects that will negatively impact compliance within the Group.

Complete all mandatory compliance training assigned to you.

Reach out to the Compliance Teams if unsure of any of your compliance obligations or the requirements are unclear.



Expected Attributes

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 progamming 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.

An 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 in a constructive manner with colleagues in the team and with a broad range of stakeholders with capability to move up and down the levels

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 using 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.



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.



Details

Hybrid

London, Sydney, Australia

Full Time Permanent

TEC2419

Location

London

Sydney, Australia

Kindred House, 17-25 Hartfield Road, Wimbledon, London, United Kingdom, SW19 3SE

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Benefits

Well-being allowance

Learning and development opportunities

Inclusion networks

Charity days

Long service awards

Social events and activites

Private medical insurance

Life assurance and income protection

Employee Assistance Programme

Pension

Meet the recruiter

Prachi Arya



prachi.arya@kindredgroup.com