Credit Model Development Data Architect Expert (Financial Risk)

Location: Hybrid, requiring in-office work four days per week, ideally in Buffalo, NY, or at an M&T office in Baltimore, MD; Bridgeport, CT; New York City, NY; Iselin, NJ; Boston, MA; Wilmington, DE; Washington, DC; Richmond, VA; Henrico, VA; 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 annual USD.

Company

M&T Bank is a banking organization developing and using quantitative models for credit risk, treasury, liquidity, and related business functions.

What you will do

• Develop, test, validate, select, refine, and maintain complex econometric, statistical, machine learning, behavioral, champion/challenger, and self-healing models.
• Analyze large bank datasets using classification, clustering, pattern analysis, sampling, simulations, time-series methods, panel data methods, and logistic regression.
• Source, ingest, clean, and manage data; prevent data drift; and work with hybrid on-premises and cloud databases.
• Commit complex code to model repositories, lead code reviews, and ensure efficient, accurate implementation using industry best practices.
• Translate model outputs into actionable insights through clear narratives, data visualizations, forecasts, and recommendations for business partners.
• Lead model-development projects, collaborate with Credit Risk Management, Asset Liability and Liquidity Management, Model Risk Management, and business lines, and mentor less experienced personnel.

Requirements

• Bachelor's degree and at least 6 years of proven quantitative behavioral modeling experience, or, without a degree, at least 10 years of combined higher education and/or work experience including at least 6 years of quantitative behavioral modeling experience.
• At least 6 years of professional experience with statistical software such as SAS, Python, Stata, or R.
• At least 6 years of professional experience with data management environments such as SQL Server Management Studio.
• At least 6 years of experience analyzing large datasets and explaining results through concise written and verbal communication, charts, and graphs.
• Experience analyzing and explaining large-dataset results and working with hybrid on-premises and cloud databases.
• Ability to communicate complex business, data, and statistical problems with technical precision and recommend corresponding solutions.
• Ability to work autonomously and within a team environment, lead projects, direct work, and provide guidance to less experienced personnel.
• Compliance with the bank's risk, regulatory, internal-control, audit, and escalation standards is required.

Nice to have

• Master's or doctorate in statistics, economics, finance, or a related quantitative social, physical, or engineering science, with relevant coursework.
• At least 8 years of statistical analysis programming experience.
• FRM or CFA designation.
• Experience in balance-sheet management and mathematical modeling of financial instruments offered by banks.
• Knowledge of model risk management and validation, including SR-11-7 guidance.
• Proven leadership skills, previous experience directing less experienced personnel, and a strong desire to learn and contribute.

Culture & Benefits

• Hybrid work with regular in-office collaboration and potential remote flexibility based on the final candidate's location.
• Work includes cross-functional collaboration across treasury, credit risk, liquidity, model risk, and business-line teams.
• Opportunity to mentor data scientists and lead team-based initiatives.
• Compensation is market-informed and reflects the candidate's knowledge, skills, and experience.
• Commitment to belonging, internal controls, regulatory standards, and the M&T Bank brand.