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About the Role

Independently develops, implements, maintains, analyzes, and manages quantitative/econometric behavioral models for credit risk, interest rate risk, liquidity risk management, and balance sheet/capital planning. Serves as a Bank-wide or industry expert in quantitative risk management, mentoring junior analysts and potentially leading project teams.

Responsibilities

• Lead research and development of quantitative behavioral models for credit risk, interest rate risk, liquidity risk management, and balance sheet/capital planning.
• Prepare, manage, and analyze large customer loan, deposit, or financial data sets using SQL or similar tools for statistical analysis.
• Run regressions, programming routines, and other econometric analyses using appropriate statistical software.
• Communicate results, including graphic and tabular forms, to team members, management, and stakeholders.
• Execute models in production environments and track portfolio and model performance.
• Incorporate observations and data into existing models to improve predictive results.
• Develop, maintain, and manage satisfactory model documentation.
• Lead financial analysis and data support to other groups across the Bank.
• Lead engagements with Model Risk Management for model validation exercises.
• Provide guidance and direction to less experienced personnel.
• Conduct business in compliance with regulatory guidance (e.g., SR 10-1, SR 10-6, SR 11-7).
• Adhere to applicable compliance, operational, and model risk controls.
• Serve as lead in managing Treasury projects and initiatives.
• Present data, results, and/or recommendations to Senior Management.
• May lead teams on a project basis, providing performance feedback.
• Understand and adhere to the Company’s risk and regulatory standards.
• 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.
• Complete other related duties as assigned.

Requirements

• Bachelor’s degree and a minimum of 6 years’ proven quantitative behavioral modeling experience, or a combined minimum of 10 years’ higher education and/or work experience, including a minimum of 6 years’ proven quantitative behavioral modeling experience.
• Credit model development experience.
• Logistic Regression AND Linear Regression experience required.
• Minimum of 6 years’ on-the-job experience with pertinent statistical software packages, including Python (mandatory).
• Minimum of 6 years’ on-the-job experience with data management environments, such as SQL Server Management Studio.
• Minimum of 6 years’ on-the-job experience analyzing large data sets and explaining results through concise written and verbal communication, as well as charts/graphs.
• Master’s of Science or Doctorate degree in statistics, economics, finance or related field in the quantitative social, physical or engineering sciences, with proven coursework proficiency in statistics, econometrics, economics, computer science, finance or risk management (preferred).
• Minimum of 8 years’ statistical analysis programming experience (preferred).
• Financial Risk Manager (FRM) or Chartered Financial Analyst (CFA) designation (preferred).
• Fluency and high proficiency in econometric/statistical techniques, especially time-series analysis, panel data methods and logistic regression (preferred).
• Experience in balance sheet management and mathematical modeling of financial instruments offered by banks (preferred).
• Knowledge and familiarity with key aspects of model risk management and model validation, including SR-11-7 guidance (preferred).
• Proven track record for being able to work autonomously and within a team environment (preferred).
• Proven leadership skills (preferred).
• Strong desire to learn and contribute to a group (preferred).
• Previous experience leading and directing the work of less experienced personnel (preferred).

Skills

• Quantitative behavioral modeling
• Credit risk modeling
• Interest rate risk modeling
• Liquidity risk modeling
• Balance sheet planning
• Capital planning
• Loan delinquency models
• Default models
• Loss models
• Loan prepayment models
• Loan utilization models
• Deposit attrition models
• Financial instrument valuation
• Structured Query Language (SQL)
• Econometric modeling
• Regression analysis
• Time series analysis
• Logistic regression
• Statistical software
• Data analysis
• Model documentation
• Model validation
• Python
• SQL Server Management Studio
• Data visualization
• Financial analysis
• Risk management
• Model risk management
• Balance sheet management
• Mathematical modeling
• Leadership

Location

• Buffalo, NY
• Baltimore, MD
• Bridgeport, CT
• Wilmington, DE
• Iselin, NJ
• Washington, DC
• NY, NY
• Remote (within the United States)

Work Type

• Hybrid
• Remote

Experience Level

• 6+ years quantitative behavioral modeling experience
• 10+ years combined higher education and work experience
• 8+ years statistical analysis programming experience (preferred)

Education Level

• Bachelor's degree
• Master's of Science or Doctorate degree (preferred)

Salary/Compensations

• $123,600.00 - $206,000.00 Annual (USD)

Benefits

• Medical
• Retirement
• Forty hours of paid volunteer time each year

About the Company

• Wilmington Trust has been serving successful individual and institutional clients for more than a century.
• Wilmington Trust is internationally recognized and has a team of experienced and skilled professionals focused on delivering a high caliber of service to every client relationship.
• We are proud to be part of the M&T corporate family.
• As an employer of choice, we are proud to offer competitive benefits.
• Our core values – integrity, ownership, collaboration, curiosity, and candor – drive the work we do.
• We seek to further build upon our record of success by bringing in top talent and fresh skill sets while continuing to support the growth and development of all our team members.
• View M&T’s Human Capital Report to learn more.

Equal 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.