Senior Credit Review Data Scientist — Portfolio Analytics

M&T Bank Corporation; Buffalo (NY); On-site; USD 103,000 - 172,000; Full time

Benefits offered by this job

Medical benefits

Retirement plan

Volunteer time off

Job summary

M&T Bank Corporation is seeking a data analytics professional to lead extraction, transformation, and analytics for Credit Review. The role focuses on building automated ETL processes, portfolio analyses, and dashboards to monitor risk indicators and performance across the loan portfolio.

You will work with data stewards and the Credit Review team to refine sampling, run statistical analyses, and support regulatory reviews. Strong SQL, Python, Power BI, and cloud/database experience are required.

Qualifications

• Bachelor’s degree and 5+ years related experience, or 9+ years combined education and/or work experience.
• Experience with AB testing, sample selection, hypothesis testing and modeling bias.
• Proficiency with statistical software and languages and tools.
• Experience with hybrid databases on premise and in the cloud.
• Knowledge of SQL and Not Only SQL (nSQL).
• Experience analyzing large data sets.

Responsibilities

• Extract data from loan systems and data warehouses; build repeatable ETL processes.
• Create automated datasets and dashboards for portfolio analytics.
• Produce portfolio segment analyses and monitor asset quality trends.
• Assist in sample population determination and stratification; document methodologies.
• Develop and maintain dashboards tracking review universe, testing deviation trends, delinquencies, charge-offs, and risks.
• Perform ad-hoc targeted analyses and support regulatory examinations.

Skills

AB testing

Sample selection

Hypothesis testing

Modeling bias

Bayesian modeling

Neural networks

Large data analysis

Education

Bachelor’s degree

Tools

Python

Power BI

Alteryx

SQL

nSQL

Job description

M&T Bank Corporation is seeking a data analytics professional to lead extraction, transformation, and analytics for Credit Review. The role focuses on building automated ETL processes, portfolio analyses, and dashboards to monitor risk indicators and performance across the loan portfolio.

You will work with data stewards and the Credit Review team to refine sampling, run statistical analyses, and support regulatory reviews. Strong SQL, Python, Power BI, and cloud/database experience are required.