Credit Model Development Quantitative Lead - Small Business Portfolio (Hybrid)

There is potential for a remote work arrangement if the final candidate is not near one of the above locations.

Overview :

The credit model development team is looking for a senior model developer who can serve as a lead to independently develop and maintain quantitative models used for credit risk, capital planning, or underwriting. The lead may supervise the work of model development analysts and provide direction to less experienced personnel on a project-by-project basis. This is a great opportunity to be part of a highly dedicated quantitative team of model developers.

Primary Responsibilities :

Develop and / or lead the development of quantitative models used for credit risk, capital planning, or underwriting. This includes CCAR and CECL models and underwriting scorecards.

Lead less experienced model developers and analysts as required to meet project objectives.

Use Python, SAS and SQL to manipulate customer loan or financial data for statistical analysis and model development.

Employ common model methodologies such as logistic regression, time series, survival analysis, as well as machine learning methods to create robust and flexible solutions to complex business problems.

Work with multiple model stakeholders across different areas of the bank to create solutions to meet business needs. Use a full array of communication skills and visual analytics to comprehend and scope business partner requirements, present analyses, explain complex models to non-technical partners, and respond to enquiries from stakeholders.

Write comprehensive and easily readable model documentation to enable Model Risk Management and stakeholders to review all aspects of model development, including justification of model methodologies chosen, candidate models, and model performance.

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 standards, policies, and procedures.

Complete other related duties as assigned.

Scope of Responsibilities :

The position is focused on data science, data wrangling, model development and associated analyses. This includes supporting production models with performance monitoring and analyses to address stakeholder queries. As a team lead, there is an emphasis on leading projects and supervising less experienced analysts / developers on a project-by-project basis. Communication is also emphasized due to the collaborative nature of the work, including engaging multiple stakeholders from across many departments to understand their requirements, the relevant business background, and to obtain buy-in for key decision points throughout the development process and the final model.

Education and Experience Required :

Proven experience managing and analyzing large data sets and explaining results of analysis through concise written and verbal communication as well as charts / graphs

Bachelor's degree and a minimum of 4 years' proven quantitative behavioral modeling experience, or in lieu of a degree, a combined minimum of 8 years' higher education and / or work experience, including a minimum of 4 years' proven quantitative model development experience.

Minimum of 4 years' on-the-job experience with pertinent statistical software packages; Experience in Python required.

Minimum of 4 years' on-the-job experience with data management environment, such as SQL Server Management Studio

Credit model development experience required.

Experience with Logistic Regression models is required

Financial services / banking industry experience required.

Education and Experience Preferred :

Master of Science or Doctorate degree in statistics, computer science, engineering, economics, finance or related fields.

Expertise in Python, SAS and SQL; experience rewriting SAS into Python is ideal.

Credit model development experience in financial services, notably for common methodologies such as logistic regression and survival analysis, as well as machine learning methods.

Small business credit model development experience preferred.

Experience developing PD / EAD / LGD frameworks for CCAR / CECL models is greatly valued and highly preferred.

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

Experience with survival and transition based forecasting frameworks, machine learning methods, and scorecard models preferred

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 $103,000.00 - $171,600.00 (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

M&T Bank Corporation is an Equal Opportunity / Affirmative Action Employer, including disabilities and veterans.