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For Companies At a Glance
- Tasks: Build and optimise predictive sports models, turning research into scalable solutions.
- Company: Join FDJ UNITED, a leading innovator in the gaming industry.
- Benefits: Competitive salary, collaborative culture, and opportunities for professional growth.
- Why this job: Make a real impact in sports betting with cutting-edge technology and a passionate team.
- Qualifications: 4-5 years in model development, strong Python skills, and a passion for sports.
- Other info: Dynamic environment with opportunities to explore new techniques and methodologies.
The predicted salary is between 48000 - 72000 £ per year.
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.
About the Role
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. The Quant Team is split into two work-streams: Quant Research and Quant Engineering. 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. The successful candidate will work very closely with the Quant Research team, as well as with architects, MLOps engineers and other key stakeholders. This position would be ideal for any strong software engineer or software-focused research analyst with strong proficiency in Python, an interest in sports betting, and the ambition to work on high-impact projects amongst a friendly and intelligent 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 focussed 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++.
Senior Quant Model Engineer in London employer: FDJ UNITED
Contact Detail:
FDJ UNITED Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quant Model Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at FDJ UNITED on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your past projects, especially those involving Python and model development. When you get the chance to chat with the team, share your work and how it relates to what they do.
✨Tip Number 3
Stay updated on industry trends! Read up on the latest in sports betting and quantitative modelling. Being able to discuss current events or innovations during interviews shows you're genuinely interested and engaged.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the FDJ UNITED team and ready to level-up the game!
We think you need these skills to ace Senior Quant Model Engineer in London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python expertise in your application. We want to see how you've used it in real-world projects, especially in building and deploying models. Don't hold back on showcasing any cool libraries or frameworks you've worked with!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate a well-structured application that gets straight to the heart of your experience and skills. Use bullet points if it helps make your achievements stand out!
Connect Your Experience to Sports Betting: If you have any experience or interest in sports betting, make sure to mention it! We’re all about innovation in this field, so showing us your passion for sports and how it ties into your work will definitely catch our eye.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you're keen to join our team!
How to prepare for a job interview at FDJ UNITED
✨Know Your Models Inside Out
Make sure you can discuss the predictive models you've worked on in detail. Be prepared to explain your thought process, the challenges you faced, and how you overcame them. This shows your depth of knowledge and passion for model development.
✨Show Off Your Python Skills
Since excellent Python skills are a must, brush up on your coding abilities before the interview. Be ready to tackle some coding challenges or discuss specific libraries like NumPy and SciPy. Demonstrating your proficiency will set you apart from other candidates.
✨Communicate Clearly
As an excellent communicator, you should be able to explain complex topics simply. Practice articulating your ideas and experiences in a way that non-specialists can understand. This will highlight your ability to collaborate with diverse teams at FDJ UNITED.
✨Embrace the Sports Betting Angle
Since the role is focused on sports models, show your enthusiasm for sports betting. Share any relevant experiences or insights you have about the industry. This will demonstrate your genuine interest and help you connect with the team’s mission to level-up the game.
