At a Glance
- Tasks: Develop cutting-edge models for sports betting and enhance customer experiences.
- Company: Join a pioneering tech company transforming sports and gaming globally.
- Benefits: Competitive salary, diverse team culture, and opportunities for growth.
- Other info: Dynamic environment with a focus on innovation and collaboration.
- Why this job: Be a key player in shaping the future of sports betting.
- Qualifications: Experience in betting models and strong analytical skills required.
The predicted salary is between 60000 - 80000 £ per year.
We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world!
From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day. In Superbet, the Quant team is responsible for developing the models and tools required for trading a wide range of sports. We aim to provide the best betting experience to our current customers and those we will acquire during our expansion across the globe.
This will mean producing prices for the full range of markets that our customers expect, same-game accumulators, 100% betting availability, and 100% cash out. We see the Quant team as a major driver within this process and want to talk to people who believe they could help us become one of the leading betting brands worldwide. As a Senior Quant, we would like you to play a big role in driving this process.
We are looking for someone who:
- Has experience delivering in-house models within the betting industry
- Can help us produce market-leading bet builder / same game acca solutions across multiple sports
- Would like to guide proprietary modelling of non-core markets
- Has experience dealing with large data sets and feeds
- Wants to become a key part of a fast-growing Quant team and company
- Has excellent communication skills, able to understand and translate complex technical information to others
- Feels comfortable collaborating with various teams
- Has a strong work ethic with a drive for completing high-quality work
Bonus points if you have:
- Experience in American Sports modelling
- Bet Builder / Same game accumulator modelling
- Experience in eSports modelling
- Golang experience
What you'll be doing:
- Develop mathematical and statistical models which will price the core and derivative markets for those sports
- Produce related contingency modelling solutions
- Provide performance analysis through backtesting and optimizing model output
- Collect and analyse market data in order to aid model development
- Create and price new products to supplement existing markets/sports
- Build trader tooling in order to maximize the efficiency of the trading operation
- Collaborate with engineering resources to enable seamless integration of any provided solutions
Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA). At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives drive better performance.
Senior Sports Quantitative Analyst in London employer: Super
Superbet is an exceptional employer that fosters a dynamic work culture where innovation and strategic thinking thrive. Located in a vibrant environment, employees benefit from comprehensive growth opportunities, collaborative teamwork, and the chance to directly impact high-level decisions within the company. With a focus on actionable insights and competitive intelligence, Superbet empowers its staff to contribute meaningfully to the organisation's success.
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We think this is how you could land Senior Sports Quantitative Analyst in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Senior Sports Quantitative Analyst in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Super, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Super. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Super
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
