Kick-start your career in the online gaming world and experience the very latest in technology and innovation.
Who We Are
We’re Super Group, the NYSE-listed digital gaming company behind some of the world’s leading Sports and iGaming brands, including Betway and Jackpot City.
We’re a powerhouse built on ecades of expertise and we’re changing the game for good. Our mission is to give our customers a superclass entertainment experience.
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.
This role will provide leadership and strategic direction to the team and act as the primary interface with M&A, Investor Relations and the C-suite. Notwithstanding the leadership and management components of the role, at least half of the time requirement will be filled with modelling, coding, analysis and other activities related to development and use of the SuperModel. Your drive and ideas will help us move faster, improve smarter, and stay ahead of the game.
What You’ll Do
You’ll take ownership of work that gives us our competitive edge, including:
Actuarial Data Warehouse, Reporting Infrastructure and Analytics
- Leading the ongoing development and optimisation of the actuarial data warehouse and all associated systems, processes, controls, and data governance frameworks.
- Overseeing the continued enhancement of the SuperDash reporting dashboard and related reporting tools to ensure the delivery of accurate, timely, and actionable business intelligence.
- Driving the design and implementation of new metrics, meta-metrics, key performance indicators, and analytical frameworks that improve the organisation's ability to:
- Monitor business performance; Identify emerging trends and risks; Support decision-making; Perform predictive analysis and forecasting; Improve operational and financial outcomes.
- Ensuring the integrity, consistency, accessibility, and usability of actuarial and operational data across the organisation.
- Identifying opportunities to leverage advanced analytics, automation, machine learning, and data science techniques to enhance reporting and business insights.
Actuarial Modelling Framework and SuperModel
- Providing strategic oversight of the SuperModel and all associated modelling systems, methodologies, assumptions, processes, and governance structures.
- Ensuring the model continues to evolve in line with changing business requirements, operating environments, products, customer behaviour, and market dynamics.
- Driving initiatives to improve model accuracy, predictive power, credibility, transparency, and efficiency.
- Reviewing and challenging model assumptions, methodologies, outputs, and validation processes to ensure robustness and reliability.
- Establishing appropriate model governance, documentation, version control, and validation standards.
- Supporting the use of modelling outputs to inform strategic planning, budgeting, valuation, forecasting, regulatory engagement, and investor communications.
Mergers & Acquisitions Analytics and Valuation
- Leading actuarial and data-driven aspects of mergers, acquisitions, investments, and strategic transactions.
- Developing and maintaining valuation methodologies and analytical frameworks for the assessment of acquisition targets and investment opportunities.
- Conducting detailed financial, actuarial, operational, and commercial analyses to assess deal attractiveness, risks, synergies, and value creation opportunities.
- Supporting due diligence exercises through the evaluation of financial performance, portfolio quality, growth potential, and key business drivers.
- Providing recommendations and insights to senior leadership regarding transaction viability, valuation ranges, and post-acquisition performance expectations.
Financial Planning and Capital Markets Guidance
- Supporting the development and review of financial forecasts, budgets, long-term business plans, and strategic initiatives.
- Providing actuarial and analytical input into capital allocation decisions and capital markets guidance.
- Reviewing assumptions and methodologies underpinning business forecasts and investor-related disclosures.
- Ensuring forecasts and guidance accurately reflect business realities, risks, and future trends.
Regulatory and Tax Impact Analysis
- Assessing the potential impact of material regulatory, legislative, accounting, taxation, or policy changes across existing markets.
- Developing financial, actuarial, and operational impact assessments to enable proactive decision-making.
- Advising senior stakeholders on risk mitigation strategies and potential opportunities arising from regulatory changes.
- Supporting engagement with regulators, auditors, advisors, and other external stakeholders where appropriate.
Market Expansion and Strategic Opportunities
- Evaluating new market opportunities through detailed actuarial, financial, competitive, demographic, behavioural, and commercial analyses.
- Modelling potential business outcomes under varying scenarios and assumptions.
- Assessing market attractiveness, scalability, profitability, capital requirements, and strategic fit.
- Providing recommendations to executive management regarding market entry, expansion, and investment priorities.
Corporate Transactions and Business Valuation
- Leading valuation analyses for acquisitions, partnerships, strategic investments, and other corporate transactions.
- Developing robust valuation models using appropriate actuarial and financial methodologies.
- Presenting findings and recommendations to executive committees, board members, and other decision-making forums.
- Supporting negotiation processes through the provision of objective, data-driven insights.
Leadership, People Management and Capability Development
- Provide leadership, direction, mentoring, coaching, and performance management to the actuarial and data science team.
- Foster a high-performance culture focused on excellence, innovation, continuous improvement, collaboration, and accountability.
- Develop team capability through structured learning, technical coaching, knowledge sharing, and succession planning.
- Ensure appropriate allocation of resources and prioritisation of activities to deliver on strategic and operational objectives.
- Promote best practices in actuarial analysis, data science, modelling, governance, documentation, and quality assurance.
- Support recruitment, retention, and development of high-performing actuarial and analytical talent.
Technical Contribution and Delivery
- Remain actively involved in the technical work of the team and contribute directly to key projects, analyses, models, and strategic initiatives.
- Provide senior review and quality assurance of actuarial, analytical, modelling, and data science outputs.
- Partner with stakeholders across finance, strategy, operations, technology, product, risk, and executive leadership teams to deliver business-critical insights.
- Lead complex analytical investigations and develop innovative solutions to strategic business challenges.
- Contribute meaningfully to the outputs and deliverables typically performed by Actuarial Analysts and Data Scientists, while providing senior oversight and technical expertise.
- Ensure all work products are delivered to a high standard of accuracy, credibility, and business relevance.
This list covers your core responsibilities – with plenty of room to stretch, explore and take on new challenges as we grow.
What You’ll Bring
- Qualified Actuary (FASSA, FIA, FIAA, FSA, or equivalent internationally recognised actuarial qualification).
- Honours degree or higher qualification in Actuarial Science, Statistics, Mathematics, Data Science, Economics, or a related quantitative discipline.
- Minimum 10+ years' actuarial experience, with significant experience in financial modelling, forecasting, valuation, and business analytics.
- Proven experience leading and managing actuarial, analytics, data science, or quantitative teams.
- Demonstrated experience developing, maintaining, and enhancing complex actuarial or predictive models.
- Significant experience working with large, complex datasets and data warehouse environments.
- Experience supporting strategic business decision-making through advanced analytics and modelling.
- Proven experience conducting business valuations and participating in M&A transactions, including due diligence and acquisition analysis.
- Experience engaging with executive leadership teams, boards, investors, or capital markets stakeholders.
- Experience operating within highly regulated environments and evaluating the impact of regulatory and tax changes on business