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Super

Junior Sports Quantitative Analyst

London
Posted about 18 hours ago
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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

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 means producing prices for the full range of markets that our customers expect, same-game accumulators, high betting availability, and a great cash out experience.

As a Junior Sports Quantitative Analyst

You’ll work alongside senior quants, traders, and engineers to help research, build, validate, and deploy models and tooling that power our sportsbook. This is a hands-on role that combines mathematics, statistics, programming, and product curiosity. You’ll be supported to develop into an independent model owner over time.

What you’ll be doing

  • Support the development, testing, and maintenance of mathematical and statistical models for core and derivative markets across multiple sports
  • Assist with contingency / correlation modelling required for bet builder and same-game accumulators
  • Collect, clean, and analyse large sports, trading, and market datasets and feeds
  • Run backtests, investigate model performance, and help iterate on model parameters and methodology
  • Build and improve internal tools that help traders operate efficiently and safely
  • Collaborate with engineering to integrate models and analytics into production systems (reliability, performance, observability)
  • Document analysis, assumptions, and changes; communicate findings clearly to the team

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

We are looking for someone who

  • Has a strong foundation in probability, statistics, and applied mathematics
  • Has solid programming skills in Python (or similar), and is comfortable working with data (pandas / SQL or equivalent)
  • Can reason clearly about modelling assumptions, bias, and validation
  • Is curious and proactive, with a willingness to learn and take ownership over time
  • Communicates technical work clearly
  • Has a strong work ethic with a drive for completing high-quality work

Bonus points if you have

  • Exposure to sports analytics or sports betting markets
  • Experience working with large datasets and/or real-time data feeds
  • Familiarity with statistical learning / optimisation techniques
  • Golang experience

About Super

We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.

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Shaping the Future of Play

Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers

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.

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Skills

Probability
Statistics
Applied Mathematics
Python
Pandas
SQL
Mathematical Modelling
Data Analysis
Backtesting
Golang
Statistical Learning
Optimisation Techniques

Location

London, England, United Kingdom

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