M&T Bank · 19 hours ago
Credit Model Development Quantitative Analyst I - Commercial Small Business Portfolio (Hybrid)
M&T Bank is seeking a Credit Model Development Quantitative Analyst I to assist in the development and analysis of quantitative models for credit risk and liquidity management. The role involves data analysis, model development, and communication of results to various stakeholders within the bank.
Financial Services
Responsibilities
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 loans and deposit 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 interest rate, liquidity or stressed capital risk
Understand the context of the Bank's data and businesses to ensure properly developed models
Produce and run regressions (including time series and logistic regression), programming routines and other econometric analyses to specify models using appropriate statistical software; communicate results, including graphic and tabular forms of model development activities to fellow team members, Treasury management and Bank-wide stakeholders, including the business lines and Risk Management colleagues to demonstrate key risk drivers and dynamics of model output
Execute models in production environment; communicate analytical results to Bank-wide stakeholders. Track portfolio performance, model performance, campaign tracking and risk strategy results
Incorporate observations and data into existing models to improve predictive results. Identify deviations from forecast/expectations and explain variances. Identify risk and/or opportunities
Support development and maintenance of satisfactory model documentation, including process procedures and performance monitoring guidelines to serve as reference source
Provide financial analysis and data support to other groups/departments across the Bank as required
Engage with colleagues in Model Risk Management for model validation exercises
Conduct business in compliance with regulatory guidance including SR (Supervision and Regulation Letters) 10-1, SR 10-6, SR 11-7, Enhanced Prudential Standards, etc. Adhere to applicable compliance/operational risk/model controls and other second line of defense policies and regulatory standards, policies and procedures
Understand and adhere to the Company’s risk and regulatory standards, policies and controls in accordance with the Company’s Risk Appetite. Identify risk-related issues needing escalation to management
Promote an environment that supports belonging and reflects the M&T Bank brand
Maintain M&T internal control standards, including timely implementation of internal and external audit points together with any issues raised by external regulators as applicable
Complete other related duties as assigned
Qualification
Required
Bachelor's degree from accredited four year institution, or in lieu of a degree, a combined minimum of 4 years' higher education and/or work experience
Proven experience in analyzing data sets and explaining results of analysis through concise written and verbal communication as well as charts/graphs
Probability & Statistics knowledge (via work experience and/or education)
Linear regression knowledge (via work experience and/or education)
Preferred
Bachelor's degree in Statistics, Economics, Mathematics, Finance or related field in the quantitative social, physical, natural or engineering sciences, inclusive of proven coursework proficiency in statistics, econometrics, economics, computer science, finance or risk management
Prior experience in banking and financial services industry ideal
Credit model development, especially small business credit model development experience, is ideal
One or more years of statistical analysis programming experience ideal
Experience with pertinent statistical software packages such as SAS, Stata R or Python with Python experience being highly preferred
Fluency and high proficiency in econometric/statistical techniques, especially time-series analysis and logistic regression, with logistic regression being ideal
Proven track record for being able to work autonomously, within a team environment, exhibiting demonstrated leadership and a strong desire to learn and contribute to a group
Minimum of 1 years' proven quantitative or data-oriented experience, including on-the-job use of statistical data analysis and data management environment such as SQL
Advanced knowledge of pertinent spreadsheet, word processing and presentation software
Company
M&T Bank
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H1B Sponsorship
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Funding
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