Senior Quant Model Engineer in England

Join us at FDJ UNITED, one of Europe’s leading betting and gaming operators, with a vast portfolio of iconic brands and a reputation for technological excellence. We offer a diversified, responsible range of games, both under exclusive rights and open to competition. Here, you’ll work alongside a team of passionate individuals dedicated to delivering the best and safest entertaining experiences for our customers every day.

The Quant Team at FDJ develops and deploys quantitative sports models, enabling in-house pricing across a variety of sports, markets and products. The team is an important component of the vision for the future evolution of the FDJ United Sportsbook Platform. We are looking for a talented Senior Quant Model Engineer to help us build and optimize predictive sports models as part of the Engineering team.

Responsibilities:

• Turn exploratory predictive models from the Research team into resilient and scalable model libraries and services.
• Be a key stakeholder in planning, designing, and implementing high-quality production code that will have a clear impact on the progression of products within the sportsbook.
• Build robust APIs and interfaces to allow controlled access to Quant's predictive models and data products.
• Make active contributions to the development of probabilistic pricing models and their efficiency.
• Work alongside senior Quant Team members to plan out and take ownership of long-term work-streams.
• Promote work and contributions for use within the team and the wider business, through global collaboration, conversations, written reports, and presentations.
• Dedicate time for investigating new techniques and methodologies that can benefit the team and wider business.

Qualifications:

• A minimum of 4-5 years commercial experience in a similar role focused on model development and deployment, as part of a quantitative or data science lifecycle.

Required Skills:

• Excellent Python skills and advanced theoretical and applied understanding of the principles of object-oriented programming.
• Experience with Python libraries for optimised scientific computing, specifically NumPy, SciPy and Numba.
• Experience building and deploying statistical models in a production environment.
• Applied experience demonstrating specialism in building production quality APIs classified as General.
• Experience applying software development best practices such as version control, unit testing, linting and CI/CD.
• An excellent communicator, both written and verbal, able to explain complex topics to non-specialists.
• A problem-solving growth mindset with the ability to pick up new tools and concepts quickly.
• Confidence to make clear recommendations to support decision making, e.g. around project priorities and planning.

Preferred Skills:

• Masters degree or PhD in STEM subject.
• Experience deploying containerised applications using Docker and Kubernetes.
• Experience writing and deploying software within cloud-based environments, ideally AWS.
• Experience with frameworks and technologies used in component orchestration, including Airflow or equivalent.
• Experience working with sporting data or demonstrable knowledge and interest in this area, including an interest in sports betting.
• Good knowledge of additional coding languages, for example Java or C++.

Seniority level: Mid-Senior level

Employment type: Full-time

Industries: Gambling Facilities and Casinos