Senior Quantitative Analyst

Overview:

Develops, implements, maintains and analyzes quantitative/predictive behavioral models used for credit risk.  Provides independent contribution to team, including data analysis, model development efforts and ad-hoc analysis as appropriate.  Provides guidance and direction to less experienced personnel as required.

Primary Responsibilities:

• Research and develop 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 and/or financial data sets for statistical analysis.  Understand the 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 and maintain robust model documentation. 
• Support engagements with Model Risk Management for model validation exercises.
• Provide guidance and direction to less experienced personnel regarding all aspects of data and quantitative analysis and 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 senior analyst in the use of statistical programming languages to analyze Bank datasets and develop, implement and maintain 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 Risk, Model Risk Management and business lines to develop, 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.  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.

Supervisory/Managerial Responsibilities:

Not Applicable

• Education and Experience Required:

• Bachelor’s degree and a minimum of 2 years’ proven quantitative behavioral modeling experience, or in lieu of a degree, a combined minimum of 6 years’ higher education and/or work experience, including a minimum of 2 years’ proven quantitative behavioral modeling experience
• Minimum of 2 years’ on-the-job experience with pertinent statistical software packages (SAS, Python, Stata, R)
• Minimum of 2 years’ on-the-job experience with data management environment, such as SQL Server Management Studio
• Minimum of 2 years’ 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 3 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
• Demonstrated leadership skills
• Strong desire to learn and contribute to a group

M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $82,783.41 - $137,972.36 Annual (USD). The successful candidate’s particular combination of knowledge, skills, and experience will inform their specific compensation.

LocationBuffalo, New York, United States of America