- 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.
- Bachelor’s/University degree or equivalent experience
SAS, Model Development, CCAR
- As a part of the CCAR Team, the Manager/AVP will support all CCAR initiatives and submissions through data capture, consolidation, transformation, reconciliation and analysis.
- Manage modeling efforts to construct high-level driver based tool for scenario analysis and used for Comprehensive Capital Analysis and Review (CCAR) submissions.
- Coordinate COE FPandA activities for CCAR, including liaising with business units, risk and treasury.
- Work in conjunction with Corporate FPandA coverage teams to build models underlying scenario analysis tool and to drive model improvements.
- Present stress test and other scenarios to corporate FPandA 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.
- Broad and deep understanding of accounting principles (both GAAP and RAP), investment, accrual products and corporate finance concepts.
- 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.
- 4-7 years of relevant finance/business/accounting/statistical experience in financial services.
- MBA/Masters in Economics, Finance, Accounting or related discipline
- Working knowledge of Statistics (linear regressions), SAS programming, Excel pivot tables, and Access database management.
- 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.