A highly motivated and results-driven professional with over 13 years of experience in financial operations across multinational companies. Possesses extensive expertise in financial modeling, budgeting, forecasting, and cost analysis, with a strong focus on optimizing financial performance through strategic planning, variance analysis, and cost reduction. Skilled in leveraging advanced tools like Excel (Macros), Hyperion, SAP, Tableau, and Power BI to drive efficiency, while maintaining a proactive approach to risk assessment, compliance, and continuous improvement.
Financial Modeling: Develop and maintain financial models that project credit card revenue based on historical data and various assumptions.
Key Performance Indicators (KPIs): Monitor and track key performance indicators, such as credit card utilization rates, interest income, and fee revenues.
Trend Analysis: Analyz and interpret revenue trends, identifying the impact of external factors like interest rates, economic conditions.
Risk Assessment: Collaborate with risk analysts to evaluate the potential impact of credit losses.
Sensitivity Analysis: Assess how small changes in variables like interest rates or customer spending can affect revenue and make recommendations.
Report Preparation: Generate detailed reports and presentations to communicate revenue forecasts and their underlying assumptions to senior management and stakeholders.
Advisory Role: Provide advice to product managers and marketing teams on revenue implications of new credit cards products
Economic Factors Integration: Stay informed about economic indicators, such as inflation and unemployment rates, and assess their influence on credit card revenue.
Model Validation: Continuously validate and improve forecasting models to ensure accuracy and reliability in revenue predictions.
Compliance and Regulation: Ensure that revenue forecasting processes comply with relevant banking and financial regulations, and address any compliance-related issues.
Continuous Improvement: Identify opportunities to enhance forecasting accuracy and efficiency, and implement improvements based on industry best practices and feedback.
Documentation: Maintain records of all forecasting methodologies, assumptions, and results for auditing and reporting purposes.