Hybrid Quant Risk Engineer — SQL/Python Modeling

Mercor; Baltimore (MD); Hybrid; USD 124,000 - 206,000; Full time

Job summary

M&T Bank is seeking a Hybrid Quantitative Risk Management professional in Buffalo, NY, combining in-office collaboration with remote work. The role focuses on developing behavioral models for credit, interest rate and liquidity risk, and supporting capital planning.

The candidate will analyze large financial datasets using Python and SQL Server, run regressions, deploy models in production, and communicate results to stakeholders across the bank.

Qualifications

• Bachelor's degree and 6+ years' quantitative modeling experience, or 10 years of combined education/experience.
• Logistic regression and linear regression experience required.
• Minimum 6 years' experience with Python and SQL Server Management Studio.
• Experience analyzing large datasets and presenting results clearly in writing and visuals.

Responsibilities

• Lead development of quantitative models for credit, interest rate, and liquidity risk.
• Prepare and analyze large loan/deposit data sets using SQL or similar tools.
• Run regressions and econometric analyses; deploy models in production.
• Communicate results to stakeholders and maintain model documentation.
• Provide guidance to junior staff and oversee Treasury projects.

Skills

Quantitative behavioral modeling

Time series analysis

Logistic regression

Linear regression

Data analysis

Python

SQL

Education

Bachelor's degree in a quantitative field

Master's degree preferred

FRM or CFA designation

Tools

SQL Server Management Studio

Python

Job description

M&T Bank is seeking a Hybrid Quantitative Risk Management professional in Buffalo, NY, combining in-office collaboration with remote work. The role focuses on developing behavioral models for credit, interest rate and liquidity risk, and supporting capital planning.

The candidate will analyze large financial datasets using Python and SQL Server, run regressions, deploy models in production, and communicate results to stakeholders across the bank.