The bank is looking to shape data-driven strategies that directly influence profitability, customer value, and market competitiveness by transforming data into pricing intelligence to support smarter, faster business decisions.
Requirements
- Pricing strategy
- Profitability modeling
- Financial forecasting
- Machine learning
- SQL
- Python
- R
Responsibilities
- Design and implement advanced pricing and profitability models for retail banking products, leveraging internal performance metrics, market benchmarks, and third-party data sources.
- Through predictive modeling, elasticity analysis, and scenario testing, help the organization optimize deposit and loan pricing, forecast financial outcomes, and identify growth opportunities.
- Translate complex analytical findings into clear business recommendations that drive strategic action.
- Contribute to enhancing our analytics infrastructure — improving data pipelines, model governance, and reporting capabilities to strengthen enterprise-wide decision-making.
Other
- Collaborating across product, finance, and executive teams
- Translate complex analytical findings into clear business recommendations that drive strategic action.
