Supports and develops, implements, maintains, and analyzes quantitative/econometric behavioral models used for credit risk, interest rate risk, and liquidity risk management, as well as balance sheet and capital planning. Provides guidance and direction to less experienced personnel.
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. This includes but is not limited to, loan delinquency, default and loss models, loan prepayment and utilization models, deposit attrition models, and financial instrument valuation methods.
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 to understand customer or Bank behavior for the purposes of credit, interest rate, liquidity, or stressed capital risk management. Understand the context of the Bank's data and businesses to ensure properly developed models.
Run regression (including time series and logistic regression), programming routines, and other econometric analyses to specify models using statistical software (e.g. SAS, Stata, R, Python); communicate results, including graphic and tabular forms, to fellow team members, Treasury management and Bank-wide stakeholders, including the business lines and risk management colleagues to demonstrate key risk drivers and dynamics of model output.
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. Identify deviations from forecast/expectations and explain variances. Identify risk and/or opportunities.
Develop and maintain satisfactory model documentation, including process narratives and performance monitoring guidelines to serve as reference source. Support engagements with colleagues in Model Risk Management for model validation exercises.
Provide financial analysis and data support to other groups/departments across the Bank as required, including Finance, Credit, Marketing, business product lines, and customer-asset management.
Provide guidance and direction to less experienced personnel regarding all aspects of data and financial analysis and the 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.
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 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.
Complete other related duties as assigned.
Nature and Scope:
The position serves as senior analyst in the use of statistical programming languages to analyze Bank datasets and the 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 may lead 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 with the Treasury Division and across the Bank. The ability to identify, analyze, rationalize and communicate complex business, data and statistical problems and recommend corresponding solutions is a key factor of success in this role.
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 2 years' proven quantitative behavioral modeling experience.
Experience with pertinent statistical software packages (SAS, Python, Stata, R) including 2 years' of on-the-job use
Experience with data management environment, such as SQL Server Management Studio, including 2 years' of on-the-job use
Proven ability to manage and analyze large data sets and explain 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.
Minimum of 3 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 both autonomously and within a team environment, exhibiting demonstrated leadership and a strong desire to learn and contribute to a group
We encourage candidates with relevant military experience to apply.
At M&T, we strive to be the best place our employees ever work, the best bank our customers ever do business with and the best investment our shareholders ever make. So when looking to advance your career, look to M&T. As a top 20 US bank holding company and one of the best performing regional banks in the country, we offer a wide range of performance based career development opportunities for talented professionals. And through our longstanding tradition of careful, conservative and consistent management and a strong commitment to the communities we serve, we continue to grow with a focus on the future.