Description
Comprehensive Capital Analysis Review (CCAR) is a semi-annual US Federal Reserve regulatory submission. It is used to ensure that institutions have robust, forward-looking capital planning processes that account for their unique risks and sufficient capital to continue operations throughout times of economic and financial stress. As part of CCAR, the Federal Reserve evaluates institutions' capital adequacy, internal capital adequacy assessment processes, and their plans to make capital distributions, such as dividend payments or stock repurchases. CCAR includes a supervisory stress test to support the Federal Reserve's analysis of the adequacy of the firms' capital. Boards of directors of the institutions are required each year to review and approve capital plans before submitting them to the Federal Reserve.
As a part of the CCAR Team, the AVP/VP will manage all CCAR initiatives and submissions through data capture, consolidation, transformation, reconciliation and analysis. The responsibilities include:
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 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
Qualifications
Other requirements:
9 - 12 years of relevant finance/business/accounting/statistical experience in financial services
MBA/Masters in Economics, Finance, Accounting or related discipline
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
Didn’t find the job appropriate? Report this Job