Senior Data Engineer

• Develop financial and customer behavior models that inform the design forecasting and commercial management of the eBucks rewards programme. This role blends quantitative analytics, rewards economics, and business judgment to balance customer value, behavior change, and long-term financial sustainability.
• Responsibilities and Skills
• Build, maintain, and enhance customer-level financial and behavior models
• Model reward-rule value propositions and partnership impacts, including scenarios, sensitivities, and forecasts
• Support the annual Earn Rule Change lifecycle with preanalysis, modelling, forecasting, implementation support, and testing
• Analyze customer and transactional data and convert findings into clear commercial recommendations
• Support budgeting, cost management, and customer-level financial analysis
• Apply model governance through validation, peer review, documentation, and quality assurance
• Automate repeatable tasks and develop reusable, scalable analytical capabilities
• Technical Skills
• Strong SAS and/or SQL; Python or R advantageous
• Advanced Excel and strong PowerPoint capability
• Financial forecasting, scenario modelling, and customer-behavior analytics
• Ability to manipulate large datasets, translate business rules into model logic, and improve existing processes
• Automation and AI-assisted analytics and visualization experience advantageous
• QUALIFICATIONS EXPERIENCE
• Bachelor’s degree in Data Science, Actuarial Science, Statistics, Econometrics, Applied Mathematics, Quantitative Finance, Computer Science, or a related quantitative field
• Honours or postgraduate qualification advantageous
• 3–5 years’ experience in data science, financial modelling, actuarial, quantitative, or commercial analytics
• Banking, financial services, loyalty, or rewards experience advantageous
• CORE COMPETENCIES
• Quantitative problem solving and critical thinking
• Commercial and financial acumen
• Attention to detail and accountability for accuracy
• Strong stakeholder engagement and clear communication
• Proactive, curious, and continuous-improvement mindset
• Ability to work through ambiguity and tight delivery timelines

Mandatory Skills : Python - Data Science, SAS