Senior Quant Analyst – CCAR/CECL

Fifth Third Bank

Senior Quantitative Analyst providing quantitative support and model validation at Fifth Third Bank. Responsible for risk management and data integration across divisions.

Posted 7/16/2026full-timeRemote • Illinois, Missouri, Texas • 🇺🇸 United StatesSenior💰 $82,100 - $172,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in quantitative modeling, statistical analysis, and database management, with proficiency in tools such as SQL, SAS, and Python. Strong communication and analytical skills are essential for effective collaboration and reporting within Risk and Finance divisions.

Highest-signal resume keywords

Quantitative ModelingStatistical AnalysisDatabase ManagementSAS Statistical ModelingSQL Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quantitative AnalyticsStatistical ModelingEconometric ModelingDatabase ManagementModel ValidationBack TestingData IntegrationAdvanced ExcelPython ProgrammingR Programming

Soft Skills

Strong Verbal CommunicationStrong Written CommunicationAnalytical SkillsTeam CollaborationFlexibility

Tools & Technologies

SnowflakeSASSQLMicrosoft OfficeGitAmazon SageMakerVBA

Industry Keywords

Risk ManagementFinancePDLGDALMCCARQRMMRMEconomic CapitalComerica Data

Tech Stack

Tools & technologies

PythonSQLVBA

About the role

Key responsibilities & impact

Provide quantitative support throughout the Risk or Finance divisions.
Implementation, modeling, and validation of quantitative models including PD, LGD, ALM, CCAR, QRM, MRM and Economic Capital.
Provide ongoing support to the development and implementation of quantitative and statistical models.
Developing, maintaining, and back testing models to support respective LOBs.
Responsibility for ad-hoc reporting requests for quantitative modeling.
Incorporate Comerica and Fifth Third data and processes through integration period.

Requirements

What you’ll need

Knowledge of Comerica data and processes preferred
Advanced degree in quantitative analytics, economics, statistics, engineering, or a related area.
Minimum 4-5 years of experience in statistical/econometric modeling and database management.
Database experience, Snowflake, SAS (including statistical modeling), and SQL.
Experience with Microsoft office products, such as Word, Excel, PowerPoint and Outlook is necessary.
Experience with Python, R, SAS (including statistical modeling), SQL, Git, Amazon SageMaker, Snowflake and VBA is preferred.
Strong verbal and written communication skills.
Strong analytical skills.
Ability to present a professional image.
Ability to work in a team environment.
Ability to multi-task and to be flexible.
Prior management experience and evidence of leadership is a plus.

Benefits

Comp & perks

Our Total Rewards include comprehensive benefits and differentiated compensation offerings to give each employee the opportunity to be their best every day.
Extensive benefits programs designed to support the individual needs of our employees and their families, encompassing physical, financial, emotional and social well-being.