Senior Credit Model Development Quantitative Modeling Manager - Commercial Credit Portfolios (Hybrid)

M&T Bank•Washington, DC

1d•Hybrid

About The Position

Manages a team of quantitative analysts and modelers within Treasury to support data, systems and forecasting needs of Treasury’s credit, interest rate risk, liquidity risk, CCAR (Comprehensive Capital Analysis and Review)/stress testing and economic capital practices. Assists with directing daily and long-range strategic direction of the group to support business initiatives and regulatory compliance.

Requirements

Bachelor’s degree in statistics, economics, finance or related field in the quantitative social, natural, physical or engineering sciences, with proven coursework proficiency in statistics, econometrics, economics, computer science, finance or risk management and a minimum of 9 years’ proven quantitative behavioral modeling experience, or in lieu of a degree, a combined minimum of 13 years’ higher education and/or work experience, including a minimum of 9 years’ proven quantitative behavioral modeling experience
Minimum of 3 years’ managerial experience (management of direct reports)
At least 10 years of credit model experience including at least 3-5 years of recent hands on credit model development experience.
Proven ability/demonstrated success in providing thought leadership & influencing enterprise wide modeling practices
Proven experience managing and analyzing large data sets and explaining results of analysis through concise written and verbal communication as well as charts/graphs

Nice To Haves

Five or more years experience managing direct reports
Experience working for large financial institutions and/or consulting firms.
Expertise in key aspects of credit model development for behavioral/quantitative models, including time series, scorecard, logistic regression, financial valuation or panel data models for commercial credit portfolios
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
Strong leadership skills
Strong desire to learn and contribute to a group
Experience with pertinent statistical software packages (e.g. SAS, Python, Stata, R)
Experience with data management environment, such as SQL Server Management Studio

Responsibilities

Lead teams in analysis of origination, credit, financial, demographic, behavioral, market and economic data pertinent to the Bank’s customers, portfolios and products. Interpret results, develop recommendations and present findings to senior management.
Manage the end-to-end model development and implementation process for behavioral models supporting the firm’s credit risk management, interest rate risk, liquidity risk, stress testing and economic capital practices. Facilitate the model development effective challenge process with the Model Development Working and Model Development Oversight Groups.
Work with a wide range of internal customers, including executive management, to explain the benefits, limitations, assumptions and requirements for proposed models, scorecards, and forecasts.
Work closely with internal and external business partners to develop and implement strategies for optimal pricing, underwriting or funding strategy with the end goal of maximizing firm profitability.
Develop and implement performance metrics, reporting and analyses using models to support data-driven decision-making and forecasting for the firm’s customers, products and portfolios.
Manage knowledge of Bank-specific and industry data sources necessary to support quantitative analytical and modeling efforts. Serve as liaison across Bank-wide stakeholders to ensure appropriate data sourcing for projects.
Manage satisfactory model documentation, including process narratives and performance monitoring guidelines to serve as reference source. Lead engagements with colleagues in Model Risk Management for model validation exercises.
Serve as subject matter expert for all Treasury projects for senior management, creating partnerships with product teams, underwriting functions, Customer Asset Management and recovery teams, Balance Sheet Risk Management, external consultants, vendors and peer banks on all facets of quantitative risk management.
Maintain a current knowledge of standard concepts, best practices and procedures within current behavioral/econometric modeling practices ,as well as credit risk management, balance sheet management, interest rate risk and liquidity risk management fields to apply these to internal practices as appropriate.
Mentor and supervise work of less experienced team members and assist in development of their technical and professional acumen.
Define, develop and deploy best risk management practices and infrastructure Bank-wide.
Exercise usual authority of a manager concerning staffing, performance appraisals, promotions, salary recommendations, performance management and terminations.
Understand and adhere to the Company’s risk and regulatory standards, policies and controls in accordance with the Company’s Risk Appetite. Design, implement, maintain and enhance internal controls to mitigate risk on an ongoing basis. 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.