Senior Software Engineer - Pricing

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? Senior Quant Model Engineer At FDJ UNITED, the Pricing Team is focused on building and deploying quantitative algorithms that deliver accurate and low-latency odds to our Sportsbook customers. We build microservices across a variety of sports and products, with a focus on modularity, interpretability, and reproducibility. As a Senior Engineer within the Pricing Engineering team, you will lead on building, optimising and deploying production-grade services to deliver a cutting-edge sportsbook experience, within a product-focused culture that champions SWE best practices. Your focus will be on hands-on technical delivery and oversight of production systems. This position would be ideal for any strong software engineer with strong proficiency in Java or similar languages, an interest in sports betting, and the ambition to work on high-impact projects amongst a friendly and intelligent team! Key Responsibilities Develop production-grade technical solutions to business requirements, using appropriate design patterns Challenge, refine, and proactively suggest improvements to business requirements based on technical expertise and domain knowledge Build robust APIs and streaming interfaces to allow controlled access to the Pricing team’s complex statistical models and data products. Champion best SWE practices for testing, observability, CI/CD, and automation within the wider team Constructively critique solutions and code of peers Work alongside Pricing Engineering managers to plan the effective delivery of workstreams. Promote work and contributions for use within the team and the wider business, through global collaboration, conversations, written reports, and presentations. Expected Attributes A minimum of 5 years of commercial experience in a SWE role focussed on implementing complex requirements within a low latency microservice architecture Excellent Java skills (or similar languages, e.g. C#), with the ability to write high-quality, performant, and well-documented code independently Demonstrable experience working with different architectures and systems which you can draw on to solve new challenges The ability to write and/or digest technical GAP/Architecture documents into a sequence of deliverable work items An excellent communicator, both written and verbal, able to explain complex topics to non-specialist stakeholders A problem-solving growth mindset with the ability to pick up new tools and concepts quickly Able to be a friendly and approachable team member, capable of mentoring more junior colleagues Desirable Attributes Masters degree or higher in a STEM subject. Experience with incident management best practices Experience with writing and analysing performance tests Experience with automation testing Experience writing and deploying software within cloud-native environments Experience working with sporting data or demonstrable knowledge and interest in this area, including an interest in sports betting. 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.