BASIC PURPOSE
Operates the credit and collateral risk models and ensures the soundness of the models and effectiveness of the process, including documentation, procedures and appropriate controls.
Develops alternative models or enhances existing models as needed, and makes recommendations for changes as appropriate.
Supports the identification, measurement, monitoring and control of the company’s credit exposures to maintain sound and effective management of credit risk, policy formulation and adherence to Federal Housing Finance Agency regulations.
PRIMARY RESPONSIBILITIES % OF TIME
1. Lead the development, testing, documentation, validation, maintenance, improvement and operation of credit and collateral risk models. Adhere to regulatory requirements and industry best practices. 60%
2. Provides analytical support and recommendations regarding the use of statistical methodologies to other areas of Risk Management and the Bank. 20%
3. Manage assigned projects to provide prudent management of credit exposures associated with financial institutions and insurance companies including individual member analyses and sector studies to identify known and emerging risks 10%
4. Assume additional responsibilities as assigned. 10%
JOB REQUIREMENTS
1. Master’s degree in a quantitative discipline (e.g. Statistics, Applied Mathematics, Economics/Econometrics, Actuarial Science /Insurance, Quantitative Finance, etc.). PhD is strongly preferred.
2. Minimum of 8 years of significant experience in Credit Risk modeling with major financial institutions or insurance companies, including minimum of 6 years of experience in scorecard, discrete choice model development, loss and delinquency forecasting, econometric and stress test model development. Experience in Model Risk Management is highly desirable.
3. Expert level of proficiency in SAS, especially in SAS/STAT and ETS modules. Must have experience in handling large-scale dataset and ETL process. Experience in Excel, VBA and SQL will be a plus.
4. Knowledge of principles and practices of risk management. Professional designation of CFA, FRM, FSA or ASA is highly desirable.
5. Understanding of safe and sound practices related to management of insurance and banking risks
6. Understanding of the use of derivatives in financial strategy and their application in risk hedging
7. Strong verbal and written communication skills / able to engage in concise and effective discussions with management. Must be familiar with Microsoft Office suites (Word, Excel & PowerPoint)
Recognized for excellence in Analytics Recruiting and Staffing, Numeric is well-known throughout the United States for providing niche talent. The Numeric advantage is our domain-specific recruitment expertise. Our clients are Fortune 500 companies in a wide range of industries, including retail, financial, advertising, insurance and more.
