Quantitative Risk Modeling Analyst - AML/BSA | Hybrid

Huntington National Bank; Columbus (OH); Hybrid; USD 90,000 - 130,000; Full time

Job summary

Huntington National Bank in Columbus, OH is seeking a quantitative analyst to develop, tune, and test models supporting BSA/AML processes. The role involves statistical analysis, data mining, and visualization on large datasets, with documentation aligned to model governance standards.

You will collaborate with internal partners to validate and implement effective models, identify issues, and drive timely resolutions while staying current with industry best practices. Equal opportunity employer.

Qualifications

• Master’s degree in a quantitative field.
• 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).
• Equivalent work and/or study project experience may be considered in lieu of some requirements.

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.

Skills

Statistical modeling

SQL

Python

R

Data visualization

Excel

Education

Master’s degree in quantitative field

PhD in quantitative discipline

Tools

Tableau

Excel

SQL

SAS

R

Python

Job description

Huntington National Bank in Columbus, OH is seeking a quantitative analyst to develop, tune, and test models supporting BSA/AML processes. The role involves statistical analysis, data mining, and visualization on large datasets, with documentation aligned to model governance standards.

You will collaborate with internal partners to validate and implement effective models, identify issues, and drive timely resolutions while staying current with industry best practices. Equal opportunity employer.