M&T Bank is seeking a Senior Developer within Treasury to support data, systems, and forecasting needs for critical financial practices such as credit risk, interest rate risk, liquidity risk, CCAR/stress testing, and economic capital. The role aims to leverage quantitative risk management expertise to improve these areas and provide strategic insights to senior management.
Requirements
- Minimum of 6 years’ on-the-job experience with pertinent statistical software packages (SAS, Python, Stata, R)
- Minimum of 6 years’ on-the-job experience with data management environment, such as SQL Server Management Studio
- Minimum of 6 years’ on-the-job experience analyzing large data sets and explaining results of analysis through concise written and verbal communication as well as charts/graphs
- Credit modeling experience, including commercial credit score card development
- Minimum of 8 years’ statistical analysis programming experience
- Strong Python skills
- Fluency and high proficiency in econometric/statistical techniques, especially time-series analysis, panel data methods and logistic regression
Responsibilities
- Lead research and development for origination, credit, financial, demographic, behavioral, market and economic data pertinent to the Bank’s customers, portfolios and products.
- Support 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.
- Develop, maintain, and manage satisfactory model documentation, including process narratives and performance monitoring guidelines to serve as reference source.
- Lead financial analysis and data support to other groups/departments across the Bank as required, serving as Bank-wide expert in area(s) of quantitative risk management.
- Provide guidance and direction to less experienced personnel regarding all aspects of data and financial analysis and the development and management of predictive statistical models.
- Serve as a quantitative expert in use of statistical programming languages to analyze Bank datasets and development, implementation and maintenance of credit risk models.
- Partner and collaborate with colleagues in related functions, including Credit Risk Management, Commercial and Consumer Business Units, Model Risk Management and review functions (Credit Review, Audit, etc.) to implement and understand models for Bank use.
Other
- Hybrid position requiring in-office work three days every week.
- Ideally the position will be based in M&T's Bridgeport, CT office but it may be in an M&T office in Buffalo, NY, Baltimore, MD, NY, NY, Paramus, NJ, Wilmington, DE, or Washington, DC.
- There is potential for a remote work arrangement, within the United States, if the final candidate is not near one of the above locations.
- Provides mentoring, training, and guidance to less experienced analysts and may lead/manage teams on a project basis, providing performance feedback to management as appropriate.
- 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.
