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About the Role

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. May supervise the work of interns and/or lead teams, providing performance feedback to management as appropriate. Provides guidance and direction to less experienced personnel.

Responsibilities

• Lead research and development of quantitative behavioral models used for credit risk, interest rate risk and liquidity risk management, as well as balance sheet and capital planning.
• Prepare, manage and analyze large customer loan, deposit, or financial data sets for statistical analysis in Structured Query Language (SQL) or similar tool.
• 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.
• 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 in to 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/departments across the Bank as required.
• Lead engagements with colleagues in Model Risk Management for model validation exercises.
• Provide guidance and direction to less experienced personnel regarding all aspects of data and financial analysis and development and management of predictive statistical models.
• 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.
• Serve as lead in managing Treasury projects and initiatives under guidance and direction of management.
• Present data, results and/or recommendations to senior management as necessary.
• May lead teams on either a project or full-time basis, providing performance feedback to management as appropriate.
• 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.
• Complete other related duties as assigned.

Requirements

• Bachelor’s degree and a minimum of 4 years’ proven quantitative behavioral modeling experience, or in lieu of a degree, a combined minimum of 8 years’ higher education and/or work experience, including a minimum of 4 years’ proven quantitative behavioral modeling experience
• Fluent in at least one open-source language for development: R, Python
• Experience in end-to-end model development lifecycle
• Experience working directly with model users and stakeholders who provide challenge and critical feedback
• Experience leading projects and initiatives involving other resources (team members)
• Minimum of 4 years’ on-the-job experience with pertinent statistical software packages (SAS, Python, Stata, R)
• Minimum of 4 years’ on-the-job experience with data management environment, such as SQL Server Management Studio
• Proven experience managing and analyzing large data sets and explaining results of analysis through concise written and verbal communication as well as charts/graphs
• Masters’ 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
• Minimum of 5 years’ statistical analysis programming experience
• Financial Risk Manager (FRM) or Chartered Financial Analyst (CFA) designation
• Fluency and 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 on model risk management
• Proven track record for being able to work autonomously and within a team environment
• Proven leadership skills
• Strong desire to learn and contribute to a group
• Previous experience leading and directing the work of less experienced personnel
• Financial modeling experience (regulatory financial modeling or credit risk modeling is a plus)
• Experience in planning and managing project timelines and resources (experience in agile methods a plus)
• Exposure to SAS
• Experience with data management and principles (lineage, observability)
• Experience with git protocols, markdown tools, open-source package development, replicable coding environments is a plus

Skills

• Quantitative behavioral modeling
• Credit risk management
• Interest rate risk management
• Liquidity risk management
• Balance sheet planning
• Capital planning
• SQL
• Statistical software
• Time series analysis
• Logistic regression
• Data visualization
• Financial analysis
• Model validation
• Project management
• Agile methods

Location

• Buffalo, NY
• Baltimore, MD
• Bridgeport, CT
• NYC, NY
• Iselin, NJ
• Boston, MA
• Wilmington, DE
• Washington, DC

Work Type

• Hybrid
• Remote

Experience Level

• 4 years quantitative behavioral modeling experience
• 8 years higher education and/or work experience (in lieu of degree)
• 5 years statistical analysis programming experience

Education Level

• Bachelor's degree
• Master's of Science or Doctorate degree

Salary/Compensations

• $103,000.00 - $171,600.00 Annual (USD)

Benefits

• Competitive benefits ranging from medical and retirement to forty hours of paid volunteer time each year.

About the Company

• With roots dating back to the founding of Wilmington Trust Company by T. Coleman du Pont in 1903, 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 ranging from medical and retirement to forty hours of paid volunteer time each year.
• 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.
• M&T Bank Corporation has policies and procedures in place to promote a drug free workplace.

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.