Assistant Manager/Manager - CCAR Model Development

We are hiring for one of the leading investment bank in Mumbai & Gurgaon.

Roles and Responsibilities:

- Development of econometric forecasting models for key Balance sheet and income statement line items for capital and business planning purposes. This includes the calculation of Net Interest Income ("NII"), Non-Interest Revenue ("Non-NIR"), Interest Rate Exposure ("IRE"), Economic Value Sensitivity ("EVS"), and other associated interest rate risk metrics.

- Deep understanding of statistical techniques such as Panel Regression, Error Correction Models, Seemingly Unrelated regression, and Cointegration.

- Steering stakeholder conversations with Businesses, Finance, Treasury, and Risk to seek their sign-offs on Champion models.

- Manage the Segmentation, Risk Identification, and overlay discussions with Businesses and Finance teams.

- Responsible for reviewing and timely submission of Model development documentation (MDDTs) for the entire PPNR modeling landscape to Model Risk Management.

- Align with Model Risk Management on modeling and validation practices and have periodic check-ins with them.

- 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 a consistent approach to data quality and modeling methods, audit, backtest, tracking, and annual validation. This is critical in reducing the model operating risk

- 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

- Ability to influence people and empower team members to be proactive and focused on partnerships and results

Requirement

- 2-9 years of relevant statistical /business experience in financial services

- Masters / Ph.D. in quantitative disciplines such as Statistics, Economics, or related discipline

- Experience in CCAR Modeling to OCC, FRB, and FDIC are preferred.

- Experience in developing econometric and Panel regression 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 in decision making

- Ability to build key cross-functional and cross-business relationships

- Broad and deep understanding of accounting principles, investment, accrual products, and corporate finance concepts

- Ability to manage multiple projects and deadlines