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Sr. Quantitative Credit Risk Analyst
2 months ago
Sr. Quantitative Credit Risk Analyst
General Summary:
Providesadvanced level of creditrisk analytics and assessment in support of credit risk management. Leads andfully participates in the use, development, and maintenance of various creditrisk models including but not limited to counterparty credit ratings models,whole loan credit stress testing and valuation models, and mortgage creditdefault and loss models. Performs quantitative analyses, modeling, and research in support of monitoring, assessing,reporting, and collaborating on credit risk management and analytics. Provides advanced-level analysisin support of recommendations and management information related to in thedevelopment, use, maintenance, and update of models used in credit riskanalytics.
Principal Duties andResponsibilities:
- Initiates, develops, implements, monitors, and maintains the Bank's credit risk related models ensuring all modeling and analytics meets expected standards.
- Responsible for assessing model risk through evaluation and maintenance of model conceptual soundness, performance monitoring, and model documentation for all credit models related to mortgage risk analytics and counterparty credit risk management.
- Researches, implements, and presents regular and ad-hoc market environment update and impact on credit risk models and analytics.
- Initiates and actively supports efforts to develop, build consensus, apply and maintain the enterprise risk management function and program, especially related to credit risk modeling and analytics.
- Effectively communicate model concepts and results to internal management and external regulators.
- Master's Degree in finance, mathematics, quantitative analysis, economics, financial engineering, or similar field of study is required.
- Industry certifications such as CFA, FRM, and CQF are a plus.
- A minimum of 5 years of related experience performing economic, financial, and quantitative/mathematical analysis or risk analysis.
- Advances Excel skills.
- Strong working knowledge and extensive experience with financial analysis, financial theory, financial mathematics, fixed income financial modeling systems, and generally accepted accounting principles related to derivatives and mortgage securities.
- Advanced experience with and presenting results of risk modeling systems and practices related to earnings simulations, profitability trends, market risk analysis, and asset/liability management.
- Advanced working knowledge of one or more of the following quantitative programming, data analysis, database skills, numerical and statistical tools such as: Stata, VBA, R, SAS, Python, SQL, and/or MATLAB strongly preferred.
- High degree of initiative and independence.
- Excellent verbal and written interpersonal communication skills in conveying concepts to both technical and non-technical audiences.
- Demonstrated commitment to diversity and inclusion. Promotes an environment of empathy and respect, ensures the inclusion of all team members, and actively engages in D&I events and learning opportunities.
Working Conditions:
Requiresdaily use of personal computer and modeling software.Flexibility to work outside normal workinghours and meet multiple and changing deadlines in a fast-pacedenvironment.Ability to pay closeattention to detail since errors could result in significant monetary loss tothe organization.