M&T Bank · 4 months ago
Credit Modeling Quantitative Analyst II (Hybrid - See potential locations in job description)
New York, NY
Full-time
Hybrid
Entry, Mid Level
$70K/yr - $117K/yr
1+ years expM&T Bank is a financial institution seeking a Credit Modeling Quantitative Analyst II to support the development and analysis of quantitative behavioral models for credit risk, interest rate risk, and liquidity risk management. The role involves managing and analyzing large datasets, executing models in a production environment, and providing guidance to less experienced personnel.
Financial Services
Responsibilities
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 series and logistic regression), programming routines and other econometric analyses to specify models using appropriate statistical software; communicate results, including graphic and tabular forms, 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
Develop and maintain satisfactory model documentation, including process narratives and performance monitoring guidelines to serve as reference source
Provide financial analysis and data support to other groups/departments across the Bank as required. Support engagements with colleagues in Model Risk Management for model validation exercises
Provide guidance and direction to less experienced personnel regarding all aspects of data and financial analysis and development and management of predictive statistical models
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/model risk controls and other second line of defense 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 and a minimum of 1 years' proven quantitative behavioral modeling experience, or in lieu of a degree, a combined minimum of 5 years' higher education and/or work experience, including a minimum of 1 years' proven quantitative behavior modeling experience
Minimum of 1 years' on-the-job experience with pertinent statistical software packages (SAS, Python, Stata, R), especially SAS & Python
Credit Risk Modeling experience
Logistic regression in credit risk modeling experience
Time Series Analysis & Monte Carlo simulation experience
Minimum of 1 years' on-the-job experience with data management environment, such as SQL Server Management Studio
Minimum of 1 years' experience in managing and analyzing large data sets and explaining results of analysis through concise written and verbal communication as well as charts/graphs
Preferred
Masters' of Science or Doctorate degree in Statistics, Economics, Finance or related field in the quantitative social, physical, or engineering sciences, with proven coursework proficiency in statistics, econometrics, economics, computer science, finance or risk management
Minimum of 2 years' statistical analysis programming experience
Financial Risk Manager (FRM) or Chartered Financial Analyst (CFA) designation
Fluency and high proficiency in econometric/statistical techniques, especially time-series analysis, panel data methods and logistic regression
Experience in balance sheet management and mathematical modeling of financial instruments offered by banks
Knowledge and familiarity with key aspects of model risk management and model validation, including SR-11-7 guidance on model risk management
Proven track record for being able to work autonomously and within a team environment
Demonstrated leadership skills
Strong desire to learn and contribute to a group
Company
M&T Bank
Great companies have an enduring sense of purpose.
10001+ employees
H1B Sponsorship
M&T Bank has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
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Trends of Total Sponsorships
2025 (116)
2024 (113)
2023 (84)
2022 (103)
2021 (42)
Funding
Current Stage
Late StageLeadership Team
René Jones
Chairman & Chief Executive Officer
Dan Saper
•Co-Founder/Co-Chairman of Welcome to M&T Bank Affinity Group, Western New York Chapter
Recent News
2025-10-07
2025-10-06
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