Quantitative Risk Modeling Analyst

The Huntington National Bank; United States; Hybrid; USD 90,000 - 140,000; Full time

Job summary

The Huntington National Bank is seeking a Quantitative Risk Modeling Analyst to develop and monitor credit risk models for consumer and commercial portfolios. You will work with data scientists and risk partners to ensure model governance and validation readiness.

The role requires hands-on experience with SQL, SAS, R and Python, and a solid background in ML and data mining. You’ll report findings, support ad-hoc analyses, and contribute to risk framework improvements.

Qualifications

• Master's degree in a quantitative field.
• 1+ year experience in statistical modeling using SQL, SAS, R and Python.
• 1+ year experience in machine learning and data mining.
• 1+ year experience with data visualization tools (Tableau is preferred) and MS Office components (Excel vlookup, pivot tables, macros).

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.

Skills

SQL

SAS

R

Python

Machine Learning

Data Visualization

Excel

Statistics

Education

Master's degree in quantitative field

PhD in quantitative field

Tools

Tableau

MS Excel

Job description

Description

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

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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.

Note to Agency Recruiters: Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.