Fincrime systems analyst

Kick-start your career in the online gaming world and experience the very latest in technology and innovation.

Who We Are

We’re part of Super Group, the NYSE-listed digital gaming company behind some of the world’s leading Sports and i Gaming brands. At Digi Outsource, we bring passionate people and innovative technology together to create market-leading online gaming solutions.

Our teams are passionate about product innovation, customer experience, compliance and security. We leverage data, technology and specialist expertise to protect customers and the business from financial crime while enabling sustainable growth.

Who We’re Looking For

We’re on a thrilling journey of growth and innovation, and we need passionate, driven individuals to join us. At Super Group International, every day is action-packed, and we expect you to bring your A-game. In return, you’ll find a supportive environment where your skills can flourish and your career can soar.

Ready to become a game-changer? Supercharge your career with us and be part of something extraordinary.

Why we need you

We’re building experiences that wow our customers – and that starts with bold, curious people who want to do work that matters.

If you’re hungry to grow, excited by impact and ready for a challenge that will supercharge your career, this could be your moment.

As our Fincrime Systems Analyst, you’ll play a key part in delivering our vision by developing and enhancing automated detection controls that identify fraud, money laundering, bonus abuse, account takeover and other financial crime risks. Your work will directly contribute to improved fraud detection rates, reduced financial losses, lower false positive rates, enhanced regulatory compliance and improved operational efficiency. Through continuous monitoring, testing and optimization, you will ensure our financial crime controls evolve alongside emerging criminal behaviours and business needs.

Your drive and ideas will help us move faster, improve smarter, and stay ahead of the game.

What You’ll Do Manage and maintain transaction monitoring and screening systems to ensure optimal performance and adherence to regulatory requirements. Design, configure, test and optimize financial crime detection rules and workflows to improve risk identification and operational efficiency. Work closely with Financial Crime Operations teams to understand risks and operational needs. Translate business, risk and compliance requirements into effective system controls. Analyse alerts, cases and performance metrics to improve detection outcomes. Reduce false positives while maintaining effective risk coverage. Identify opportunities to automate manual processes and improve efficiency. Collaborate with Product, Compliance, Engineering, Data Engineering and Data Science teams. Support the delivery of new controls, features and regulatory requirements. Define business requirements, test scenarios and acceptance criteria. Perform rule tuning and validate control effectiveness. Maintain rule documentation, process guides and knowledge articles. Support audits, investigations and governance activities when required. Monitor emerging fraud and financial crime trends. Recommend enhancements to strengthen the financial crime control framework. Use data and operational insights to drive continuous improvement.

This job description is not intended to be an exhaustive list of responsibilities. You may be required to complete other reasonable duties in order to achieve business objectives.

What You'll Bring

You’re someone who brings:

Clear, confident communication (written and verbal), and the ability to breakdown complex ideas A collaborative mindset, working smoothly with cross‑functional teams to hit shared goals Strong organisational skills and the ability to manage multiple projects without dropping the ball Exceptional attention to detail and a commitment to high‑quality work Adaptability – you stay sharp, productive and positive in fast‑moving environments Bachelor's degree in business, Finance, Computer Science, Mathematics, Data Analytics, Information Systems, or a related discipline. 2 - 3 years' experience Technical Skills: