About the role
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.
We are looking for a Football Trader to join our team. The Trader will be responsible for the life-cycle of odds: from pre-match creation to in-play trading. This will involve ownership of designated competitions, pricing of in-house markets, management of markets, trading live matches, and risk management across our platform. This role combines data analysis, market awareness, and real-time decision-making to optimise trading performance and manage financial exposure.
The successful candidate should have a hunger to drive our betting offer forward coupled with a data driven approach. They should have a strong knowledge of football, sports betting markets and statistical analysis, with the ability to react quickly in fast-paced live environments.
What you'll be doing:
- Set up, price and manage a range of football markets across domestic and international competitions for both Pre Match and In Play
- Compile odds for a range of player and stats-based markets that include Shots, Fouls, Tackles, and Offsides
- Monitor and adjust odds based on market activity, team news and liabilities whilst assessing and reacting to sharp betting patterns
- Manage a diverse range of in-play football markets during live matches using the in-house soccer model - Corners, Cards, Stats and Player markets
- Ensure markets remain competitive while maintaining profitable margins
- Monitor trading tools and feeds to maintain accurate and timely market updates
- Active collaboration with Risk teams when necessary
- Conduct analyses of the markets and competitions you are responsible for - betting trends, customer behaviour, and market performance
- Work closely with quantitative analysts, product teams, and risk teams to improve trading models, tooling and platform functionality
What we are looking for:
- Strong knowledge and passion for football, including major leagues and competitions
- Experience in sportsbook trading and betting operations
- Ability to make fast, accurate decisions under pressure
- Solid understanding of probability, odds calculation, and betting markets
- Proficiency in Excel and Google Sheets and trading platforms; knowledge of Python/R is a plus
- Ability to work shifts including evenings, weekends, and major football events
Desirable Qualifications
- Degree in Mathematics, Statistics, Economics, Data Science, or a related field
- Previous experience with in-play trading systems or automated trading tools
- Knowledge of multiple sports betting markets (Totals, Player Props, Stats markets etc.)
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.
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.
Aplyr's read
Superbet is a dynamic force in online gaming, attracting tech-savvy professionals with its innovative betting solutions and diverse roles in product and tech.
What's promising
- •Superbet is expanding its tech and product teams, indicating growth and innovation.
- •The company offers diverse roles, from data science to compliance, appealing to varied skill sets.
- •Superbet's focus on AI and risk governance suggests a commitment to cutting-edge technology.
What to watch
- •The online gambling industry faces strict regulatory scrutiny, posing potential compliance challenges.
- •High competition in the betting sector may pressure Superbet to continuously innovate.
- •Limited public information about Superbet's internal culture and employee satisfaction.
Why Superbet
- •Superbet is heavily investing in AI and data analytics for enhanced betting solutions.
- •The company offers specialized roles like Football Trader, reflecting a niche focus on sports.
- •Superbet's hiring in Brazil indicates strategic international market expansion.
Aplyr’s read is generated by AI from public sources. Was it useful?
About Superbet
Superbet is a leading online sports betting and gaming company, providing a wide range of betting options and gaming experiences.
Similar roles
HEMA Lead Spain and Portugal
Johnson & Johnson
Business Analyst/Functional Consultant (Corporate/Commercial Lending Domain)
FIS
System Engineer (d/m/w) in Data Handling domain & Mass Memory Formatting Units
Airbus
Fluggerätelektriker (m/w/d)
Airbus
Traineeship with Computer / Data Science Background in MPD (Material, Process Delivery) Department (m/w/d)
Procter & Gamble
Principal Supply Chain Data Scientist
Genentech