Quantitative Manager – CCAR/CECL

Fifth Third Bank

Quantitative Manager leading model governance and analytical framework development at Fifth Third Bank. Supporting commercial credit risk modeling and ensuring compliance with regulatory standards.

Posted 7/3/2026full-timeRemote • Ohio • 🇺🇸 United StatesSeniorLead💰 $96,500 - $207,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in statistical modeling, data analytics, and credit risk frameworks, with a strong ability to communicate complex technical concepts to diverse audiences. Proficient in programming and analytical tools essential for model governance and quantitative analysis.

Highest-signal resume keywords

Statistical/Econometric ModelingData AnalyticsPython ProgrammingCredit Risk Modeling FrameworksRegulatory Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical ModelingEconometric ModelingData AnalyticsAnalytical ReportingScorecard DevelopmentPortfolio ManagementModel DocumentationQuantitative Analysis

Soft Skills

Verbal CommunicationWritten CommunicationPresentation Skills

Tools & Technologies

PythonSASSQLVBASnowflake

Industry Keywords

Commercial Credit RiskModel GovernanceRegulatory ExpectationsCommercial Lending Products

Tech Stack

Tools & technologies

CloudPythonSQLVBA

About the role

Key responsibilities & impact

Lead and support the model governance analytical framework development, model implementation, monitoring, and documentation of quantitative models used in commercial/wholesale credit risk rating
Provide quantitative analytical support for commercial credit risk and modeling
Develop analytical consulting support for LOB teams and other cross functional business partners
Prepare standard model and monitoring documentation that aligns with regulatory expectations and internal governance standards

Requirements

What you’ll need

Advanced degree in quantitative analytics, statistics, economics, engineering, or a related field
8-10 years of experience in statistical/econometric modeling, data analytics, and analytical reporting
Proficiency in programming languages and tools such as Python, SAS, SQL, VBA
Experience dealing with complex data systems extracting and constructing datasets, alongside cloud-based tools, such as snowflake system
Good understanding of credit risk modeling frameworks, scorecard development, and portfolio management concepts
Strong verbal and written communication skills and ability to effectively present technical materials clearly with both technical and non-technical audiences
Familiarity with commercial lending products and regulatory requirements is a plus

Benefits

Comp & perks

Health insurance
401(k) matching
Bonuses
Flexible work arrangements
Professional development opportunities