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

M&T Bank•Washington, DC

2d•$103,000 - $171,600•Hybrid

About The Position

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.

Requirements

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 SAS or 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.

Nice To Haves

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

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.