Credit Model Development Quantitative Expert

M&T Bank Corporation; Buffalo (NY); On-site; USD 123,600 - 206,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

M&T Bank Corporation in Buffalo, NY is seeking a senior quantitative risk analyst to independently develop and manage quantitative behavioral models for credit and liquidity risk. The role unites risk modeling with production deployment, performance tracking, and cross‑bank collaboration.

You will lead model development, validate findings, and communicate results to stakeholders while mentoring junior analysts in a hybrid office setting.

Qualifications

• Bachelor’s degree and at least 6 years of proven quantitative behavioral modeling experience.

Responsibilities

• Lead research and development of quantitative behavioral models for credit risk, interest rate risk, liquidity risk management, balance sheet and capital planning.

Skills

Python programming

Logistic regression

Time-series analysis

Data analysis

Communication

Education

Bachelor’s degree + 6 years experience

Master’s or Doctorate in statistics/economics/finance

FRM or CFA designation

Tools

Python

SQL Server Management Studio

Job description

Work Arrangement / Location

Work Arrangement/Location: This is a hybrid position requiring in‑office work three days every week. Ideally the position will be based in Buffalo, NY but may be in an M&T office in Buffalo, NY, Baltimore, MD, Bridgeport, CT, Wilmington, DE, Iselin, NJ, Washington, DC, or possibly NY, NY. There is 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 bank‑wide or industry expert in key areas of quantitative risk management. 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.

Primary Responsibilities

• Lead research and development of quantitative behavioral models for credit risk, interest rate risk, liquidity risk management, balance sheet and capital planning, 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 properly specify and estimate econometric models to understand customer or bank behavior for risk management purposes.
• Run regressions (including time‑series and logistic regression), programming routines and other econometric analyses using appropriate statistical software; communicate results, including graphics and tables, to team members, treasury management, and bank‑wide stakeholders.
• Execute models in the production environment and 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.
• Develop, maintain, and manage satisfactory model documentation, including process narratives and performance monitoring guidelines.
• Lead financial analysis and data support to other groups across the bank as required, serving as a bank‑wide expert in quantitative risk management.
• Lead engagements with colleagues in Model Risk Management for model validation exercises.
• Provide guidance and direction to less experienced personnel regarding data, financial analysis and the development and management of predictive statistical models.
• Conduct business in compliance with regulatory guidance, including SR 10‑1, SR 10‑6, SR 11‑7, and Enhanced Prudential Standards.
• Adhere to applicable compliance, operational, model risk controls and other second‑line of defense and regulatory standards.
• Serve as lead in managing treasury projects and initiatives under management guidance and direction.
• Present data, results and/or recommendations to senior management as necessary.
• Identify risk‑related issues needing escalation to management.

Scope of Responsibilities

• Quantitative expert using statistical programming languages to analyze bank datasets and develop, implement and maintain behavioral models.
• Communicate findings with clear narratives, compelling data visualization and precise technical reporting to enable audience understanding of analysis and forecasts.
• Partner and collaborate with credit risk management, asset‑liability and liquidity management, model risk management and business lines to implement and understand models for bank use.
• Lead team‑based projects related to model development or implementation; supervise interns or lead teams on a project basis when required.
• Direct the work of others on the team while maintaining high attention to detail, execution and follow‑up across multiple initiatives within treasury and the bank.

Education and Experience Required

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

Education and Experience Preferred

• Master’s or Doctorate in statistics, economics, finance or related field with proven coursework in statistics, econometrics, economics, computer science, finance or risk management.
• Minimum 8 years of statistical analysis programming experience.
• Financial Risk Manager (FRM) or Chartered Financial Analyst (CFA) designation.
• 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 of working autonomously and within a team environment.
• Leadership experience and strong desire to learn and contribute to a group.
• Previous experience leading and directing less experienced personnel.

Compensation

Pay range: $123,600.00 – $206,000.00 annually (USD). Compensation will be based on a combination of knowledge, skills and experience.

Location

Buffalo, NewYork, United States of America.

Equal Employment Opportunity

M&T Bank is unwavering when it comes to providing equal employment opportunities to all employees and applicants without regard to race, color, national origin, religion, ethnicity, sex, gender identity, age, disability, citizenship, pregnancy, veteran status, military status, marital status, sexual orientation, genetic information or any other characteristic protected under applicable federal, state or local laws. M&T Bank Corporation has policies and procedures in place to promote a drug‑free workplace.