Quantitative Risk Modeling Analyst

Huntington National Bank•Columbus, OH

1d•Hybrid

About The Position

This employer will not sponsor applicants for certain work visas (F-1 student, H-1B worker, O-1 worker, TN worker, E-3 worker). Applicants must be currently authorized to work in the United States on a full-time basis. This position is available to be filled at any Huntington Corporate office location. Huntington is seeking qualified candidates for a Quantitative Risk Modeling Analyst role. Huntington's approach to the office workplace type combines in-office and work from home, enabling teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in offices for moments that matter. Specific work arrangements will be provided by the hiring team. At Huntington, the company looks out for people, aiming to make lives better through game-changing innovations and a strong internal culture. Colleagues are encouraged to embody a Can-Do Attitude, Service Heart, and Forward Thinking.

Requirements

Master’s degree in a quantitative field (e.g., mathematics, statistics, economics, engineering, finance, physics)
1+ years of experience with statistical modeling using SQL, SAS, R, or Python, and exposure to machine learning or data mining
Proficiency with data visualization tools (Tableau preferred) and MS Office (advanced Excel skills)
Applicants must be currently authorized to work in the United States on a full-time basis

Nice To Haves

PhD in a quantitative discipline
Experience building statistical or machine learning models
Strong programming skills (SQL, SAS, R, Python)
Excellent analytical and communication skills
Proficiency with economic and financial concepts
Strong organizational skills and ability to manage multiple priorities independently
Commitment to operational excellence and quality execution
Understanding of model risk management frameworks

Responsibilities

Develop, tune, and test quantitative models to support BSA/AML processes
Perform statistical analysis, data mining, root‑cause analysis, and visualization on large, complex datasets
Create clear documentation for model development, tuning, and performance consistent with model governance standards
Collaborate with internal partners to validate, implement, and maintain effective BSA/AML models
Identify potential issues, analyze problems, and drive resolutions independently or collaboratively under tight timelines
Stay current on modeling methodologies, analytical techniques, and industry best practices