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M&T Bank

Credit Model Quantitative Lead (Hybrid)

M&T Bank, Washington, District of Columbia, us, 20022

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Credit Model Quantitative Lead (Hybrid)

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M&T Bank

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Credit Model Quantitative Lead (Hybrid)

role at

M&T Bank

Work Arrangement/Location: This is a hybrid position requiring in-office work three days every week. Ideally based in Buffalo, NY, but may be in an M&T office in Buffalo, NY, Baltimore, MD, Wilmington, DE, or Washington, DC.

Potential for remote work if the final candidate is not near one of the above locations.

Overview: The credit model development team is seeking a senior model developer to serve as a lead, developing and maintaining quantitative models for credit risk, capital planning, or underwriting. The role involves supervising analysts and providing project guidance. This is a great opportunity to join a dedicated team of model developers.

Primary Responsibilities:

Develop and lead the creation of models for credit risk, capital planning, or underwriting, including CCAR and CECL models and scorecards.

Lead and supervise less experienced model developers and analysts.

Utilize Python, SAS, and SQL for data manipulation and analysis.

Apply methodologies such as logistic regression, time series, survival analysis, boosted trees, and machine learning techniques.

Collaborate with stakeholders across the bank, communicate findings, and explain models to non-technical partners.

Document models comprehensively for review and compliance.

Ensure compliance with regulatory guidance and internal standards.

Perform other related duties as needed.

Scope of Responsibilities: Focus on data science, model development, and supporting production models with performance monitoring. Lead projects and supervise team members, engaging with multiple stakeholders to gather requirements and obtain buy-in.

Education and Experience Required:

Proven experience with large data sets, analysis, and effective communication.

Bachelor’s degree and at least 4 years’ experience in behavioral modeling, or 8 years’ combined education and work experience.

At least 4 years’ experience with SAS and SQL.

Model development experience in financial services.

Preferred Qualifications:

Master’s or Doctorate in relevant fields.

Expertise in Python, SAS, SQL, and model methodologies.

Experience with underwriting scorecards, CCAR/CECL models, and model risk management.

Leadership experience and ability to work autonomously.

Salary range: $97,869.52 - $163,115.87 annually. Location: Buffalo, NY, with potential for remote work.

Details:

Seniority level: Not Applicable

Employment type: Full-time

Job function: Business, Management, Development

Industries: Banking, Financial Services, Investment Banking

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