Senior Data Analytics - Credit Loss Forecasting

U.S. Bank; Charlotte (NC); On-site; USD 95,000 - 130,000; Full time

Job summary

U.S. Bank is seeking a data analytics professional to join the Loss Forecasting team within Consumer and Business Banking. The role focuses on forecasting, analytics, and model risk governance, leveraging SQL, Python, R, and other tools to analyze credit loss across mortgage and consumer portfolios.

The candidate will work with cross-functional partners to translate forecast outcomes into actionable business insights, while ensuring governance and compliance across data and modeling processes.

Qualifications

• Bachelor's degree in a related field, or equivalent work experience.
• Five to seven years of statistical and/or data analytics experience.

Responsibilities

• Work on big data/analytics projects and develop actionable insights.
• Acquire data from multiple sources for analysis.
• Identify trends in complex data and provide recommendations.
• Interpret data using statistical techniques and present results clearly.
• Collaborate with partners to provide a holistic view of the analysis.
• Ensure data acquisition and results compliance with company standards.
• Monitor results of implemented recommendations.

Skills

Statistical analysis

Forecasting

Data analytics

Analytical skills

SQL

Python

R

Excel

Communication skills

Project management

Education

Bachelor's degree in related field

Tools

SQL

R

Python

Excel

Hadoop

SAS

SPSS

Geospatial tools

Job description

U.S. Bank is seeking a data analytics professional to join the Loss Forecasting team within Consumer and Business Banking. The role focuses on forecasting, analytics, and model risk governance, leveraging SQL, Python, R, and other tools to analyze credit loss across mortgage and consumer portfolios.

The candidate will work with cross-functional partners to translate forecast outcomes into actionable business insights, while ensuring governance and compliance across data and modeling processes.