Strategic Consumer Credit Risk Leader

Fifth Third Bank; Cincinnati (OH); On-site; USD 110,000 - 170,000; Full time

Job summary

Fifth Third Bank is seeking a Consumer Credit Risk Manager to lead risk assessment for consumer portfolios including Residential Lending, Direct, Indirect, Credit Card and Small Business segments. You will develop scorecards, loan loss forecasts and risk-based pricing models, partnering with business leaders to improve risk-adjusted returns.

The role requires strong analytical capabilities, experience in credit risk modeling with SAS/R/Python, and the ability to communicate results to senior

Qualifications

• Master’s degree in Finance, Statistics, Economics or a related field.
• 6–8 years of Consumer Lending experience required.
• Excellent analytical, verbal and written communication skills.
• Strong interpersonal skills and ability to influence stakeholders.
• Experience in credit risk modeling and reporting tools (SAS/R/Python).
• Knowledge of credit policies, regulations and lending processes.

Responsibilities

• Manage credit risk for Residential Lending, Direct, Indirect, Credit Card or Small Business portfolios.
• Develop scorecards and loan loss forecasts; provide risk guidance to partners.
• Design analyses to support portfolio risk management and marketing programs.
• Build risk-based pricing models and loan loss models using statistical techniques.
• Collaborate with Sales, Product Development and Investor Relations; present findings to leadership.
• Monitor risk, report activity and validate risk models and assumptions.

Skills

Analytical skills

Verbal and written communication

Leadership presence

Relationship building

Education

Master’s degree

Tools

SAS

R

Python

MS Office

Job description

Fifth Third Bank is seeking a Consumer Credit Risk Manager to lead risk assessment for consumer portfolios including Residential Lending, Direct, Indirect, Credit Card and Small Business segments. You will develop scorecards, loan loss forecasts and risk-based pricing models, partnering with business leaders to improve risk-adjusted returns.

The role requires strong analytical capabilities, experience in credit risk modeling with SAS/R/Python, and the ability to communicate results to senior