Education- B.Sc/ M.Sc/BA/MA(Only in Statistics or Economics)From good institute only
- Development of econometric forecasting models for all significant balance sheet assets and liabilities for capital and business planning purposes. This includes the calculation of Net Interest Income (NII ), which is also referred to as Net Interest Revenue ( NIR), Interest Rate Exposure (- IRE- ), Economic Value Sensitivity (EVS ), and other associated interest rate risk metrics.
- Development, documentation and testing of product models needed as input to Financial Planning and Risk Management forecasts.
- Evaluate the impact on the product models of various scenarios used for Comprehensive Capital Analysis & Review (CCAR) submissions
- Create a culture of accountability and strict quality control of the data integrity and modeling process
- Develop and maintain a comprehensive modeling system that maintains consistent approach to data quality and modeling methods, audit, back test, tracking, annual validation. This is critical in reducing the model operating risk
- Coordinate COE FP&A activities for CCAR, including liaising with business units, risk and treasury
- Present stress test and other scenarios to corporate FP&A senior management
- Ability to build key relationships with finance and business teams
- Must be able to present technical matters in a way that is meaningful to the audience
- Highly motivated, participative team player with a change agent mentality that can provide leadership
- Ability to influence people and empower team members to be proactive and focused on partnerships and results
- Expertise in Stochastic Modeling Approaches, Modern Risk Management Theory and Modern Financial Theory
- Experience developing econometric and multivariate regression models. Good understanding of Seemingly Unrelated regression, Panel Data regression and Fixed effect models
- Extensive hands-on experience in programming and modeling using SAS
- Excellent presentation skills; the ability to translate complex financial schedules into meaningful presentations is critical; demonstrated analytical skills including the ability to synthesize quantitative and qualitative data to draw conclusions and assist on decision making
- Ability to build key cross functional and cross business relationships
- Must be able to present technical matters in a way that is meaningful to the audience
- Broad and deep understanding of accounting principles, investment, accrual products and corporate finance concepts
- Demonstrated leadership and team management skills and ability to managing multiple projects and deadlines
- Experience in model validation, documentation and tracking
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