Manages a team of quantitative analysts and modelers within Treasury to support data, systems and forecasting needs of Treasury’s credit, interest rate risk, liquidity risk, CCAR (Comprehensive Capital Analysis and Review)/stress testing and economic capital practices.
Requirements
- Proven coursework proficiency in statistics, econometrics, economics, computer science, finance or risk management
- minimum of 6 years’ proven quantitative behavioral modeling experience
- Proven experience managing and analyzing large data sets and explaining results of analysis through concise written and verbal communication as well as charts/graphs
- Knowledge and familiarity with key aspects of model development for underwriting/behavioral/quantitative models, including scorecards, logistic regression and time series, models for credit risk
- Knowledge and familiarity with key aspects of model risk management and model validation, including SR-11-7 guidance on model risk management
- Experience with Python (preferred) or SAS
- Experience with data management environment, such as SQL Server Management Studio
Responsibilities
- Lead teams in analysis of origination, credit, financial, demographic, behavioral, market and economic data pertinent to the Bank’s customers, portfolios and products.
- Manage the end-to-end model development and implementation process for behavioral models supporting the firm’s credit risk management, interest rate risk, liquidity risk, stress testing and economic capital practices.
- Work with a wide range of internal customers, including executive management, to explain the benefits, limitations, assumptions and requirements for proposed models, scorecards and forecasts.
- Work closely with internal and external business partners to develop and implement strategies for optimal pricing, underwriting or funding strategy with the end goal of maximizing firm profitability.
- Develop and implement performance metrics, reporting and analyses using models to support data-driven decision-making and forecasting for the firm’s customers, products and portfolios.
- Manage knowledge of Bank-specific and industry data sources necessary to support quantitative analytical and modeling efforts.
- Manage satisfactory model documentation, including process narratives and performance monitoring guidelines to serve as reference source.
Other
- This is a hybrid position requiring in-office work three days every week.
- Ideally the position will be based in Buffalo, NY but may be in an M&T office in Buffalo, NY, Baltimore, MD, NYC, NY, Wilmington, DE, or Washington, DC.
- There might be potential for a remote work arrangement, within the United States, if the final candidate is not near one of the above locations.
- Strong leadership skills; manager of people & project management
- Proven track record for being able to work autonomously and within a team environment
