Credit Risk Model Development Quantitative Analyst II - Consumer Portfolio (Hybrid - see job de[...]

Wilmington Trust; Washington (District of Columbia); On-site; USD 71,600 - 119,300; Full time

Job summary

M&T Bank in Buffalo, NY is seeking an experienced quantitative analyst to develop and analyze behavioral models for credit risk, interest rate risk, and liquidity risk management. You will support model development, validation coordination, and reporting to Treasury and stakeholders.

The role requires strong Python skills, experience with SAS/Python/R/Stata, and the ability to communicate technical results clearly.

Qualifications

• Bachelor’s degree and at least 1 year of quantitative modeling experience or 5 years of related work.
• Minimum 1 year with SAS, Python, Stata, or R.
• Strong Python skills and model development experience.
• Experience with logistic and linear regression and data management tools.

Responsibilities

• Assist in researching and developing quantitative behavioral models for risk management.
• Prepare and analyze large loan, deposit, and financial data sets for econometric modeling.
• Run regressions and econometric analyses; communicate results to team and stakeholders.
• Execute models in production and monitor performance; maintain documentation.

Skills

Python

Statistics

Data analysis

Communication

Education

Bachelor's degree or equivalent

Tools

SAS

Python

Stata

R

SQL

Job description

Work Location and Arrangement

This is a hybrid position requiring in‑office work four (4) days a 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 locations, a remote arrangement may be considered.

Overview

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

• Assist in researching and developing quantitative behavioral models used for credit risk, interest rate risk, and liquidity risk management, including 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 SQL or a similar tool to specify and estimate econometric models that capture customer or bank behavior for risk management purposes.
• Run regressions (including time‑series and logistic regression), program routines, and other econometric analyses to specify models using appropriate software; communicate results, including graphic and tabular forms, to team members, Treasury management, and bank‑wide stakeholders.
• Execute models in the production environment; communicate analytical results to bank‑wide stakeholders.
• Track portfolio performance, model performance, campaign tracking, and risk strategy results; incorporate observations and data to improve predictive results and identify deviations from forecasts, explaining variances and risk opportunities.
• Develop and maintain model documentation, including process narratives and performance monitoring guidelines.
• Provide financial analysis and data support to other groups and departments across the bank as required; support engagements with Model Risk Management for validation exercises.
• Provide guidance and direction to less experienced personnel on all aspects of data analysis, financial analysis, and development of predictive statistical models.
• Conduct business in compliance with regulatory guidance (SR 10‑1, SR 10‑6, SR 11‑7, Enhanced Prudential Standards, etc.) and model risk controls.
• 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 inclusive environment that reflects the M&T Bank brand.
• Maintain internal control standards, including timely implementation of audit points and issues raised by external regulators.
• Complete other related duties as assigned.

Scope of Responsibilities

The role serves as an experienced analyst using statistical programming languages to analyze bank datasets and to design, implement, and maintain behavioral models. The analyst must communicate clear narratives, data visualizations, and technical precision in writing and presentations to enable stakeholders to understand analyses and forecasts. The position partners with Credit Risk Management, Asset Liability and Liquidity Management, Model Risk Management, and business lines to deploy and understand models for bank use. The role is highly technical and requires attention to detail, execution, and follow‑up on multiple initiatives across Treasury and the bank. The ability to identify, analyze, rationalize, and communicate complex analytical problems and recommend solutions is a key success factor.

Education and Experience Required

• Bachelor’s degree and a minimum of 1 year’s proven quantitative behavioral modeling experience, or, in lieu of a degree, a combined minimum of 5 years of higher education and/or work experience, including at least 1 year in quantitative behavioral modeling.
• Minimum of 1 year’s experience with statistical software packages (SAS, Python, Stata, R).
• Strong Python skills required.
• Model development experience required, including familiarity with logistic and linear regression.
• Minimum of 1 year’s experience with data management environments such as SQL Server Management Studio.
• Minimum of 1 year’s experience managing and analyzing large data sets and communicating results through concise written and verbal communication and charts/graphs.

Education and Experience Preferred

• Master’s or Doctorate in Statistics, Economics, Finance, or a related quantitative field with coursework proficiency in statistics, econometrics, economics, computer science, finance, or risk management.
• Minimum of 2 years’ statistical analysis programming experience.
• Credit model development experience; consumer portfolio model development experience highly preferred.
• At least 1 year of on‑the‑job Python programming experience.
• Fluency 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 of key aspects of model risk management and validation, including SR‑11‑7 guidance.
• Proven ability to work autonomously and within a team.
• Demonstrated leadership skills.
• Strong desire to learn and contribute to a group.

Compensation Range

M&T Bank is committed to fair, competitive, and market‑informed pay. The pay range for this position is $71,600.00 – $119,300.00 annual (USD). The successful candidate’s compensation will be determined based on knowledge, skills, and experience.

Location

Buffalo, New York, United States of America