Quantitative Expert

Overview:

Independently develops, implements, maintains, analyzes and manages quantitative/predictive behavioral models used for credit risk. 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 predictive models used for credit risk, including but not limited to, loan delinquency, default and loss models, cashflow models, and financial instrument valuation methods.
• Prepare, manage and analyze large customer loan, deposit or financial data sets for statistical analysis. Understand context of the Bank's data and businesses to ensure properly developed models.
• Apply statistical software to create models of the appropriate form for the business purpose identified, including time series and logistic regressions, survival analysis, and machine learning. Communicate results to 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; track model performance and communicate analytical results to Bank-wide stakeholders. Identify deviations from forecast/expectations and explain variances. Identify risk and/or opportunities. Incorporate observations and data into existing models to improve predictive results.
• Develop, maintain, and manage robust model documentation.
• Lead engagements with Model Risk Management for model validation exercises.
• Serve as lead in managing modeling projects and initiatives under guidance and direction of management. Present data, results and/or recommendations to Senior Management as necessary. May lead teams on a project basis, providing performance feedback to management as appropriate.
• Provide guidance and direction to less experienced personnel regarding all aspects of data and quantitative analysis and the development and management of predictive statistical models.
• 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. Adhere to applicable compliance/operational/model risk controls and other second line of defense and regulatory standards, policies and procedures.
• Promote an environment that supports diversity and reflects the M&T Bank brand.
• Complete other related duties as assigned.

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 predictive 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, 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. 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

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
• Fluency and high proficiency in statistical techniques, especially time-series analysis, logistic regression, survival analysis, and machine learning.
• 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 $115,703.73 - $192,839.55 Annual (USD). The successful candidate's particular combination of knowledge, skills, and experience will inform their specific compensation.

Location
Buffalo, New York, United States of America