AVP/VP - Credit Risk Model Development - BFSI

Model performance Monitoring :

- Independent reviews & re-reviews of Finance, Credit, Risk, Fraud, Operations, Marketing and other models Consumer & Community Banking businesses such as Mortgage Banking, Auto Finance, Home Lending, Card Services Business Banking, Merchant Services, Digital payments and Consumer Banking.

- Work with review teams in other locations, to ensure high-quality model reviews, re-reviews, minor model enhancements, and model usage reviews in compliance with the firm's Estimation policies and procedures

- Work with other partners such as Control functions, Finance, Fair Lending, Technology and Audit to ensure that key model risks are understood, recorded, monitored and managed with appropriate compensating controls (when applicable).

- Supports Model performance Monitoring

OR

Retail Modeling (Mortgages) :

- Support end-to-end credit-risk model development efforts within Capital Modeling

- Support model development efforts of and liaison with other risk partners

- Manage quality control within development projects, assuring accurate and appropriate model development, quantification and implementation of capital models.

- Assist in development of benchmark models

- Efficiently design and produce programs to streamline and create repeatable procedures for model development, validation, and reporting.

- Proactively communicate and collaborate with line of business partners and model end-users to analyze and meet analysis and reporting needs.

- 12+ years- statistical modeling experience in the financial services industry; Basel Capital and/or Federal Reserve Comprehensive Capital Analysis and Review (CCAR) a plus.

- 12+ years- SAS programming experience; well versed in SAS/Base, SAS/STAT, SAS/Macro, and data-mining procedures. SAS Certification preferred.

- Experience utilizing SQL in a relational database environment such as DB2, Oracle, or Teradata.

- Experience with machine-learning techniques and big data environments.

- Experience with programming languages such as PYTHON and R.

- A Master's or Ph.D. Degree in a technical or quantitative field such as Statistics, Economics, Finance, Mathematics, Computer Science, Engineering, or Information Technology.

- Experience in developing, implementing and testing loan-level loss forecasting models and credit risk models within financial institutions.

OR

Risk and Profitability Models :

- Work with a team of decision science professionals to develop best-in-class core risk and profitability models and decision support tools for all aspects of credit risk decision points across life-cycle of customers.

- Ensure that all risk models are in compliance with regulatory requirements and the Firm-wide model risk policy

- Provide insights derived from the models and modeling exercise to support business strategies

- A minimum of 5 years of Hand-On Modeling Experience out of 10 years of total work exp. Experience in credit modeling across various consumer products as well as risk management and Business Insights in banking is required.

- Outstanding analytical, interpretive and problem-solving skills, which will require the ability to synthesize /analyze diverse information and develop strategy recommendations from observed outcomes.

- Previous experience to support regulatory examinations and internal audits is preferred.

OR

Fraud Model Development :

- Collaborate with fraud prevention/detection strategy teams and operations to understand business needs, data-generating process, system capability, and potential impact of models.

- Design Machine Learning Algorithms that can be used to improve the fraud prevention/detection scores

- Source data and apply feature engineering for model development and deployment

- Provide requirements and assist Information Technology for model deployment

- Document model solutions and address questions/concerns from model risk and control partners