Manager - Credit Risk Model Development/Validation - IIT/NIT/ISI

Enterprise Model Risk Management seeks a quantitative analyst in the Wholesale Model Risk team to conduct independent testing and review of models used for wholesale loss forecasting, risk rating scorecards, regulatory capital, and allowance including CECL and IFRS 9. These are high profile modeling areas in the bank, with continual senior management and regulatory focus. The candidate will interact with Model Developers, Model Owners and Global Control Functions to prioritize and complete validation activities and to effectively maintain and oversee the model risk governance processes. The candidate is also expected to provide support to senior management during regulatory and audit exams and submission requirements.

Responsibilities:

The candidate will be responsible for a broad range of model validation activities, including:

- Review, critical assessment and challenge of models on conceptual soundness, assumptions and limitations, data, developmental evidence in support of modeling choices, performance, implementation and documentation

- Development and implementation of effective testing plans and testing code to critically challenge models through empirical analyses and to verify model implementation

- Review and critical assessment of ongoing model monitoring activities

- Writing of technical reports for distribution and presentation to model developers, senior management, audit and banking regulators

- Coaching of junior staff members while leading validation projects. Requirements:

- Education: Masters or Ph.D. degree in Statistics, Mathematics, Financial Mathematics, Economics, Computational Finance, Engineering Physics etc.

- Educational institutes: Top tier - IITs, NITs, Indian Statistical Institutes etc.

- Certifications (preferred but not mandatory): FRM, CFA etc.

- Experience Range: 3 - 6

Foundational skills:

- 2 or more years of experience in the quantitative modeling and/or validation field

Strong Quantitative skills -

- Background and experience with complex, loan-level PD/EAD/LGD models used for stress testing and other credit risk management purposes

- Expertise in cross-sectional and time-series econometrics

- Strong knowledge of financial instruments and financial risk management principles

- Experience with wholesale business, capital and scorecard models

- Extensive programming experience using SAS, R, Python and/or MATLAB

- Expertise in analyzing and managing large databases

- Strong Written and Oral Communication

- Ability to follow up with issues and summarize discussions

- Ability to communicate clearly, effectively, and work well with people at all levels

- Ability to manage multiple projects and direct the effort of others

- Attention to details

- Willingness to learn

- Strong work ethic

- Team player

Desired skills:

- Familiarity with applicable regulatory guidance on model risk management, stress testing, and Basel requirements

- Speaking / presentation skills in a professional setting

- Ability to communicate clearly and effectively, and influence others

- Ability to produce high quality technical documentation