Quantitative Risk Modeling and Analytics Manager

Huntington National Bank

. Develop quantitative methods using SQL, SAS, R, and python for optimization of credit risk across consumer and regional banking portfolios .

Posted 11/12/2026full-timeUnited StatesMid-LevelSenior💰 $93,000 - $189,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in quantitative analytics, utilizing SQL, SAS, R, and Python for credit risk optimization and analytics within the banking sector. Proficient in developing visualizations and dashboards using Tableau to support data-driven decision-making.

Highest-signal resume keywords

Quantitative AnalyticsSQLSASRTableau

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quantitative Method DevelopmentCredit Risk OptimizationStatistical AnalysisData VisualizationForecastingData ValidationRisk ManagementAnalytic Framework DevelopmentConsumer Loan ProductsCapital Planning

Soft Skills

Excellent Communication SkillsCollaborationOrganizational SkillsAttention to DetailMulti-tasking

Tools & Technologies

TableauMicrosoft Office ProductsStatistical Platforms

Industry Keywords

Banking IndustryConsumer BankingFair LendingStress TestingPPNR Analytics

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Develop quantitative methods using SQL, SAS, R, and python for optimization of credit risk across consumer and regional banking portfolios
Design, develop, deploy, and maintain visualizations, dashboards, and scorecards using business intelligence software such as Tableau
Gather and assemble data for quantitative method development from loan origination data sources and loan accounting systems
Partner with data analytics teams to ensure data validity, identify non-compliance, and recommend corrective action
Work with internal partners to support analytics for fair lending, capital planning, and stress testing
Lead analytic approaches for credit portfolio management
Provide quantitative analytic support for credit analytics, PPNR analytics, fair lending analytics, and other risk management areas
Drive the analytic framework supporting the Consumer and Regional Banking analytics program
Provide cross-functional support to different areas within the Bank
Lead development of techniques to evaluate risk and reward across lending products
Work with the team forecasting balance sheet and income statement elements for annual capital planning activities
Perform other duties as assigned

Requirements

What you’ll need

Minimum master’s degree required with an economics or other quantitative/statistics/finance concentration, related field, or equivalent experience
5+ years of experience in quantitative analytics using SQL, SAS, R, and Python
Quantitative method experience in the banking industry with an understanding of consumer loan products
3+ years of experience in Tableau
Experience working with statistical platforms (SAS, R, Python, Matlab, or Eviews)
Excellent written and verbal (face-to-face and phone) communication skills including professional grammar and demeanor
Ability to interact with various levels of management and external regulators
Ability to communicate complex calculations into language that is clear and concise
Ability to collaborate effectively with others while demonstrating effective challenge by constructively offering perspectives that question conventional thinking
Excellent PC software skills including all Microsoft Office Products
Strong organizational skills with attention to detail
Ability to multi-task

Benefits

Comp & perks

Incentive compensation plan
Health insurance coverage
Wellness program
Life and disability insurance
Retirement savings plan
Paid leave programs
Paid holidays
Paid time off (PTO)
Flexible work arrangement may be available for certain positions outside the branch network
Work from home may be available as part of a flexible work arrangement