M&T Bank
Credit Risk Model Development Quantitative Analyst II - Consumer Portfolio (Hybrid - see job description for potential work locations)
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Job Description
** Work Location/Arrangement: This is a hybrid position requiring in-office work four (4) days every week at an M&T office in Buffalo, NY, Bridgeport, CT, Wilmington, DE, Baltimore, MD, Washington, DC, or possibly NY, NY. ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
***If the final candidate is not near one of the above referenced locations, there might be a possibility for a remote arrangement.*
Overview
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Provides experienced support in the development and analysis of quantitative/econometric behavioral models used for credit risk, interest rate risk and liquidity risk management, as well as balance sheet and capital planning. Supports more experienced analysts and management in data analysis, model development efforts and ad-hoc analysis as needed. Provides guidance and direction to less experienced personnel as needed.
Primary Responsibilities
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- With experienced skillset, assist in researching and developing quantitative behavioral models used for credit risk, interest rate risk and liquidity risk management, as well as balance sheet and capital planning, including but not limited to, loan delinquency, default and loss models, loan prepayment and utilization models, deposit attrition models and financial instrument valuation methods.
- Prepare, manage and analyze large customer loan, deposit and/or financial data sets for statistical analysis in Structured Query Language (SQL) or similar tool to properly specify and estimate econometric models to understand customer or Bank behavior for purposes of credit, interest rate, liquidity or stressed capital risk management. Understand the context of the Bank’s data and businesses to ensure properly developed models.
- Run regressions (including time se...
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