Quantitative Risk Modeling Analyst

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

Job summary

Huntington National Bank is seeking qualified candidates for the role of Quantitative Risk Modeling Analyst. The position focuses on building and validating credit, PPNR, origination, and portfolio models, with emphasis on data-driven decisions and risk governance.

The team analyzes portfolio performance, monitors models, and delivers ad-hoc analytics while collaborating across departments. Candidates should have a strong quantitative background and programming skills in SQL, SAS, R, and Python.

Qualifications

• Master’s degree in quantitative field required.
• 1+ years of experience in statistical modeling using SQL, SAS, R and Python.
• 1+ years of experience in machine learning and data mining.
• 1+ years of experience with data visualization tools (Tableau preferred) and MS Office (Excel, pivots, macros).

Responsibilities

• Develop consumer and/or commercial credit, PPNR, loan origination and portfolio management models.
• Analyze credit portfolio performance data.
• Monitor existing models and report monitoring results.
• Work independently on projects with strict deadlines.
• Research new modeling methodologies and techniques.
• Support governance, audit/compliance and validation projects related to models.
• Complete ad-hoc analytics as needed.
• Perform other duties as assigned.

Skills

Statistical modeling

Machine learning

Data visualization

Programming

Education

Master’s degree in quantitative field

PhD in quantitative field

Tools

SQL

SAS

R

Python

Tableau

Excel

Job description

Description

This employer will not sponsor applicants for the following 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.

Job Description

Huntington is looking for qualified candidates to become Quantitative Risk Modeling Analysts.

Duties & Responsibilities

• Development of consumer and/or commercial credit, PPNR, loan origination and portfolio management models
• Analysis of credit portfolio performance data
• Conducting ongoing monitoring of existing models
• Analysis and reporting of ongoing monitoring results
• Ability to work independently on projects with strict deadlines
• Researching new modeling methodologies and techniques
• Working with various teams within the firm to support governance, audit/compliance and validation projects related to the developed models
• Completes analysis of credit portfolio performance data
• Completes ad-Hoc analytics
• Performs other duties as assigned

Basic Qualifications

• Master’s degree in quantitative field (mathematics, statistics, economics, engineering, finance, physics)
• 1+ years of experience in statistical modeling using SQL, SAS, R and Python that may be a combination of work experience and/or study project.
• 1+ years of experience in machine learning and data mining
• 1+ years of experience with data visualization tools (Tableau is preferred) and MS Office components (Excel vlookup, pivot tables, macros)

Preferred Qualifications

• PhD in quantitative field
• Knowledge of CCAR/DFAST and CECL concepts and frameworks
• Knowledge of loss forecasting, loan origination and portfolio management modeling concepts and methodologies (PD, LGD, EAD)
• Demonstrated strong analytical skills
• Demonstrated experience and competence in programming using SQL, SAS, R, and Python
• Strong communication skills
• Proficiency in MS Office products
• Fundamental understanding of economic concepts
• Passion and drive to operational excellence and quality delivery
• Fundamental understanding of risk concept and framework
• Ability to multitask and work efficiently

Exempt Status

(Yes = not eligible for overtime pay) (No = eligible for overtime pay)

Yes

Workplace Type

Office

Our Approach to Office Workplace Type

Certain positions outside our branch network may be eligible for a flexible work arrangement. We’re combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.

Huntington will not sponsor applicants for this position for immigration benefits, including but not limited to assisting with obtaining work permission for F-1 students, H-1B professionals, O-1 workers, TN workers, E-3 workers, among other immigration statuses. Applicants must be currently authorized to work in the United States on a full-time basis.

Huntington is an Equal Opportunity Employer.

Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.