Credit Model Development Data Architect Expert (Machine Learning)

Location: Hybrid position requiring in-office work four days each week, ideally in Buffalo, NY, or at an M&T office in Baltimore, MD; Bridgeport, CT; New York, NY; Iselin, NJ; Boston, MA; Wilmington, DE; Washington, DC; or another M&T Bank corporate office. A remote arrangement may be possible depending on the final candidate’s location.

Salary: $123,600–$206,000 annually (USD).

Company

M&T Bank is a banking organization developing and managing financial, credit risk, treasury, and behavioral models.

What you will do

• Solve complex data problems using analytical and statistical methods across the organization.
• Build, test, validate, select, and refine econometric, statistical, machine learning, credit, and behavioral models.
• Develop champion/challenger and self-healing model frameworks and maintain model repository code.
• Analyze large banking datasets, create visualizations, and communicate actionable insights and business value.
• Lead code reviews, model development projects, and collaboration with Credit Risk Management, Asset Liability and Liquidity Management, Model Risk Management, and business lines.
• Mentor and guide less experienced data scientists, interns, and project team members.

Requirements

• Bachelor’s degree and at least 6 years of quantitative behavioral modeling experience, or an equivalent combination of education and work experience.
• At least 6 years of experience with SAS, Python, Stata, or R, data management environments such as SQL Server Management Studio, and large datasets.
• Experience with hybrid on-premises and cloud databases.
• Ability to explain complex analysis through concise written and verbal communication, charts, and graphs.
• Strong knowledge of statistical and econometric techniques, including time-series analysis, panel data methods, and logistic regression.
• Ability to lead projects, work autonomously and collaboratively, and direct less experienced personnel.

Nice to have

• Master’s or doctorate in statistics, economics, finance, or a related quantitative discipline.
• At least 8 years of statistical analysis programming experience.
• FRM or CFA designation.
• Experience with balance sheet management, financial instrument modeling, model risk management, model validation, and SR-11-7 guidance.

Culture & Benefits

• Hybrid work arrangement with regular in-office collaboration.
• Work involves cross-functional partnerships across risk management, treasury, and banking business lines.
• Responsibilities include maintaining internal controls and addressing audit and regulatory issues.
• Compensation is market-informed and based on the candidate’s knowledge, skills, and experience.