• Act as a domain expert in pricing strategy and financial analysis within consumer retail environments. • Evaluate, validate, and refine AI-generated outputs related to financial modeling, valuation, pricing optimization, and transaction analysis. • Provide structured, high-quality feedback to improve the accuracy, reasoning, and robustness of AI systems. • Stress-test complex financial scenarios to ensure outputs align with real-world investment, strategic, and operational standards. • Contribute to the creation of rigorous financial reasoning benchmarks and evaluation frameworks. • Collaborate cross-functionally with AI researchers, engineers, and product stakeholders to enhance system performance and usability.

• Act as the primary finance contact for designated business units/regions. • Partner with senior leadership to provide financial insight • Build strong cross-functional relationships to influence and support business objectives. • Lead annual Group budget, monthly rolling forecast, and long-range planning cycles for business areas. • Deliver timely, accurate, and insightful monthly performance reporting. • Enhance financial models, tools, and reporting processes.

• Support AI research through financial analysis and modeling • Evaluate AI-generated content and provide feedback on financial concepts • Use professional experience to design job-related prompts • Review AI-generated responses for accuracy and relevance to financial tasks

• Own end-to-end analysis of large, complex data sets (“data cubes”), often in environments with incomplete or evolving data structures • Build Excel-based analysis from scratch to support senior leadership decision-making • Synthesize complex analyses into clear, concise insights and recommendations for executive audiences • Build and maintain sophisticated financial models, including multi-scenario and sensitivity analyses • Support budgeting, forecasting, and long-range planning through analytical modeling • Analyze historical and projected financial performance, identifying key drivers and trade-offs • Prepare materials for leadership reviews and board-level discussions, with a focus on analytical rigor and clarity • Collaborate cross-functionally within the organization to ensure analytical consistency and data integrity • Support evaluation of potential M&A opportunities through financial modeling, data analysis, and diligence support as needed