Quantitative Risk Modeling Analyst

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

Job summary

Huntington is seeking a Quantitative Risk Modeling Analyst to develop and monitor credit, PPNR, loan origination and portfolio models. The role involves analyzing portfolio performance data, conducting ongoing monitoring, and reporting results.

You will research new methodologies and collaborate with governance, audit, and validation teams to ensure model integrity. The ideal candidate has a master's or PhD in a quantitative field, strong skills in SQL/SAS/R/Python, experience with data

Qualifications

• Masters or PhD in a quantitative field with strong coursework in statistics/finance.
• Experience in statistical modeling and data mining using SQL, SAS, R, and Python.
• Familiarity with CCAR/DFAST and CECL concepts.
• Strong analytical and communication skills; ability to work under deadlines.
• Experience with data visualization tools and MS Office is preferred.

Responsibilities

• Develop consumer and/or commercial credit, PPNR, loan origination and portfolio management models.
• Analyze credit portfolio performance data and monitor existing models.
• Prepare ongoing monitoring reports and ad-hoc analytics.
• Collaborate with governance, audit/compliance and validation teams.
• Conduct research on new modeling methodologies and techniques.

Skills

Statistical modeling

Machine learning

Data visualization

Communication skills

Multitasking

Education

Master’s degree in quantitative field

PhD in quantitative field

Tools

SQL

SAS

R

Python

Tableau

Excel (VLOOKUP, pivot tables, macros)

Job description

DescriptionJob DescriptionHuntington 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 modelsAnalysis of credit portfolio performance dataConducting ongoing monitoring of existing modelsAnalysis and reporting of ongoing monitoring resultsAbility to work independently on projects with strict deadlinesResearching new modeling methodologies and techniquesWorking with various teams within the firm to support governance, audit/compliance and validation projects related to the developed modelsCompletes analysis of credit portfolio performance dataCompletes ad-Hoc analyticsPerforms other duties as assignedBasic 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 mining1+ years of experience with data visualization tools (Tableau is preferred) and MS Office components (Excel vlookup, pivot tables, macros)Preferred Qualifications:PhD in quantitative fieldKnowledge of CCAR/DFAST and CECL concepts and frameworksKnowledge of loss forecasting, loan origination and portfolio management modeling concepts and methodologies (PD, LGD, EAD)Demonstrated strong analytical skillsDemonstrated experience and competence in programming using SQL, SAS, R, and PythonStrong communication skillsProficiency in MS Office productsFundamental understanding of economic conceptsPassion and drive to operational excellence and quality deliveryFundamental understanding of risk concept and frameworkAbility to multitask and work efficiently#LI-HYBRID#LI-MK2Exempt Status: (Yes = not eligible for overtime pay) ( No = eligible for overtime pay)YesWorkplace Type:OfficeOur Approach to Office Workplace TypeCertain 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.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.