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Treasury Quantitative Commercial Model Development Manager

2 months ago

Bridgeport, Connecticut, United States M&T Bank Full time
Job Summary

We are seeking a highly skilled Treasury Quantitative Commercial Model Development Manager to join our team. As a key member of our Treasury team, you will be responsible for managing a team of quantitative analysts and modelers 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.

Key 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 diversity 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.
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.
  • Proven experience managing and analyzing large data sets and explaining results of analysis through concise written and verbal communication as well as charts/graphs.
Preferred Qualifications
  • Knowledge and familiarity with key aspects of model development for behavioral/quantitative models, including time series, scorecard, logistic regression, financial valuation, or panel data models for credit risk, interest rate risk, or liquidity risk management.
  • 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.