Senior Credit Risk Quantitative Expert (Hybrid)

Hybrid Position

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. Serves as Bank-wide or industry expert in key area(s) of quantitative risk management. Provides mentoring, training and guidance to less experienced analysts and may lead/manage teams on a project basis, providing performance feedback to management as appropriate.

Primary 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 to properly specify and estimate econometric models.
• Run regressions (including time series and logistic regression), programming routines and other econometric analyses to specify models using appropriate statistical software.
• Execute models in production environment; communicate analytical results to Bank-wide stakeholders.
• Develop, maintain, and manage satisfactory model documentation.
• Lead financial analysis and data support to other groups/departments across the Bank.
• Provide guidance and direction to less experienced personnel.
• Conduct business in compliance with regulatory guidance.
• Serve as lead in managing Treasury projects and initiatives.
• Understand and adhere to the Company's risk and regulatory standards.
• 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.
• Experience in credit memo writing or approval of using scorecards.
• Familiarity with using risk rating scorecards (PD and LGD).

Scope of Responsibilities:

The position serves as a quantitative expert in use of statistical programming languages to analyze Bank datasets and development, implementation and maintenance of behavioral models. It is important for the position to communicate with clear narratives, compelling data visualization and technical precision, both in-person and in writing, to enable audiences to understand analysis and forecasts. The position partners and collaborates with colleagues in related functions, including Credit Risk Management, Asset Liability and Liquidity Management, Model Risk Management and business lines to implement and understand models for Bank use. The position often leads team-based projects related to model development or implementation. This role is highly technical in nature and requires demonstrated attention to detail, execution and follow-up on multiple initiatives within Treasury and across the Bank. The ability to identify, analyze, rationalize and communicate complex business, data and statistical problems and recommend corresponding solutions while directing the work of others on the team is a key factor of success in this role. The position may supervise the work of interns and/or lead teams on a project basis, providing performance feedback to management as appropriate. The position also provides guidance and direction to less experienced personnel.

Education and Experience Required:

• Bachelor's degree and a minimum of 6 years' proven quantitative behavioral modeling experience, or in lieu of a degree, a combined minimum of 10 years' higher education and/or work experience, including a minimum of 6 years' proven quantitative behavioral modeling experience.
• Minimum of 6 years' on-the-job experience with pertinent statistical software packages (SAS, Python, Stata, R).
• Minimum of 6 years' on-the-job experience with data management environment, such as SQL Server Management Studio.
• Minimum of 6 years' on-the-job experience analyzing large data sets and explaining results of analysis through concise written and verbal communication as well as charts/graphs.
• Experience in using commercial risk rating scorecards (PD and LGD).

Education and Experience Preferred:

• 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 8 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.

M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $141,158.46 - $235,264.10 Annual (USD). The successful candidate's particular combination of knowledge, skills, and experience will inform their specific compensation.

Location: New York, New York, United States of America