Credit Model Development Quantitative Expert

Wilmington Trust; Baltimore (MD); Hybrid; USD 123,600 - 206,000; Full time

Job summary

M&T Bank in Buffalo, NY is seeking a Senior Quantitative Risk Analyst to independently develop, implement, and manage quantitative behavioral models for credit, interest rate, and liquidity risk. You will mentor analysts, lead project teams, and collaborate with Model Risk Management to ensure compliance and robust validation.

The role requires strong expertise in logistic/linear regression, Python, and large data analysis, with experience deploying models in production and communicating results

Qualifications

• Bachelor’s degree with 6+ years of quantitative behavioral modeling experience.
• Credit model development experience and expertise in logistic/linear regression.
• 6+ years of experience with Python and SQL-based data analysis and reporting.

Responsibilities

• Lead research and development of quantitative behavioral models for credit, interest rate, and liquidity risk.
• Prepare and analyze large financial data sets for econometric modeling in SQL or similar tools.
• Run regressions and econometric analyses; communicate results to stakeholders; deploy models in production.

Skills

Python

Statistical analysis

Data visualization

Communication

Leadership

Education

Bachelor’s degree in a quantitative field

Master’s degree in statistics/economics/finance

FRM or CFA designation

Tools

SQL Server Management Studio

SQL

Job description

Work Arrangement/Location

This is a hybrid position requiring in-office work three days each week. The preferred location is Buffalo, NY, but the role may be based in a M&T office in one of the following locations: Buffalo, NY; Baltimore, MD; Bridgeport, CT; Wilmington, DE; Iselin, NJ; Washington, DC; or possibly New York, NY. There is also potential for a remote work arrangement within the United States if the final candidate is not near one of the above locations or another M&T corporate office.

Overview

Independently develops, implements, maintains, analyzes, and manages quantitative/econometric behavioral models used for credit risk, interest rate risk, and liquidity risk management, as well as balance sheet and capital planning. Serves as a bank‑wide or industry expert in key areas of quantitative risk management, provides mentoring and training to less experienced analysts, and may lead or manage teams on a project basis.

Primary Responsibilities

• Lead research and development of quantitative behavioral models 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, or financial data sets for statistical analysis in SQL or a similar tool to specify and estimate econometric models that understand customer or bank behavior for risk management purposes.
• Run regressions (time‑series and logistic), programming routines, and other econometric analyses to specify models using appropriate statistical software; communicate results, including graphic and tabular forms, to team members, Treasury management, and bank‑wide stakeholders.
• Execute models in a production environment; communicate analytical results to bank‑wide stakeholders, track portfolio performance, model performance, campaign tracking, and risk strategy results, and incorporate observations and data into existing models to improve predictive results.
• Develop, maintain, and manage model documentation, including process narratives and performance monitoring guidelines, as a reference source.
• Lead financial analysis and data support to other groups across the bank as required, serving as a bank‑wide expert in quantitative risk management, and lead engagements with Model Risk Management for model validation exercises.
• Provide guidance and direction to less experienced personnel on data and financial analysis and the development and management of predictive statistical models.
• Conduct business in compliance with regulatory guidance (e.g., SR 10‑1, SR 10‑6, SR 11‑7, Enhanced Prudential Standards) and adhere to applicable compliance, operational, and model risk controls.
• Serve as a lead in managing Treasury projects and initiatives under management guidance; present data, results, and recommendations to senior management as necessary.
• 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 inclusive environment that supports belonging and 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 position serves as a quantitative expert in statistical programming to analyze bank datasets and develop, implement, and maintain behavioral models. It requires clear communication through narratives, data visualization, and technical precision in both written and verbal formats. The role partners with and collaborates with colleagues in Credit Risk Management, Asset Liability and Liquidity Management, Model Risk Management, and business lines to implement and understand models for bank use. It often leads team‑based projects related to model development or implementation. The role is highly technical and involves supervising interns or leading project teams, providing performance feedback, and guiding less experienced personnel.

Education And Experience Required

• Bachelor’s degree and a minimum of 6 years of proven quantitative behavioral modeling experience, or in lieu of a degree, a combined minimum of 10 years of higher education and/or work experience, including a minimum of 6 years of proven quantitative behavioral modeling experience.
• Credit model development experience.
• Logistic regression and linear regression experience required.
• Minimum of 6 years of on‑the‑job experience with statistical software packages, including Python (mandatory).
• Minimum of 6 years of on‑the‑job experience with data management environments such as SQL Server Management Studio.
• Minimum of 6 years of on‑the‑job experience analyzing large data sets and explaining results through concise written and verbal communication, as well as charts and graphs.

Education And Experience Preferred

• Master’s of Science or Doctorate degree in statistics, economics, finance, or related field in the quantitative social, physical, or engineering sciences.
• Minimum of 8 years of 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.
• Proven track record for working autonomously and within a team environment.
• Proven leadership skills.
• Strong desire to learn and contribute to a group.
• Previous experience leading and directing the work of less experienced personnel.

M&T Bank is committed to fair, competitive, and market‑informed pay for our employees. The pay range for this position is $123,600.00 – $206,000.00 annually (USD). The successful candidate’s particular combination of knowledge, skills, and experience will inform their specific compensation.

Location

Buffalo, New York, United States of America