Senior Credit Model Development Analyst – Consumer Portfolio

Role Overview

• Develops, implements, maintains and analyzes quantitative/econometric behavioral models used for credit risk, interest rate risk and liquidity risk management, as well as balance sheet and capital planning
• Provides independent contribution to team, including data analysis, model development efforts and ad-hoc analysis as appropriate
• Provides guidance and direction to less experienced personnel
• Research and develop 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
• 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

Requirements

• Bachelor’s degree and a minimum of 2 years’ proven quantitative behavioral modeling experience, or in lieu of a degree, a combined minimum of 6 years’ higher education and/or work experience, including a minimum of 2 years’ proven quantitative behavioral modeling experience
• Minimum of 2 years’ on-the-job experience with Python
• Model Development experience, including credit model development experience, is required
• Logistic Regression experience required
• Minimum of 2 years’ on-the-job experience with data management environment, such as SQL Server Management Studio
• Minimum of 2 years’ experience analyzing large data sets and explaining results of analysis through concise written and verbal communication as well as charts/graphs

Tech Stack

• Python
• SQL

Benefits

• Health insurance
• 401(k) matching
• Paid time off
• Flexible working hours
• Professional development opportunities
• Forty hours of paid volunteer time each year