Senior Data Analytics & Forecasting – Credit Loss

U.S. Bank; Denver (CO); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Health insurance

401(k) plan

Paid vacation

Sick leave

Parental leave

Adoption assistance

Job summary

U.S. Bank is seeking a senior Loss Forecasting Analyst to join the Consumer and Business Banking analytics team in Denver.

The role emphasizes forecasting experience, model risk governance, and strong analytical capabilities to deliver insights that influence business decisions. Candidates should have banking experience, fluency with analytics tools, and the ability to communicate complex results to partners.

Qualifications

• Bachelor's degree in a related field or equivalent work experience.
• Five to seven years of statistical and/or data analytics experience.
• Experience with credit loss forecasting and forecast analysis.
• Ownership with models and/or Model Risk Governance.
• Banking or financial services experience in credit, forecasting, modeling.
• Ability to analyze forecast outcomes and their financial impact.
• Proficiency in analytics software: SQL, R, Python, Excel, Hadoop, SAS, SPSS; geospatial tools.

Responsibilities

• Work on big data/analytics projects and develop actionable insights.
• Acquire data from multiple sources for analysis.
• Identify trends to answer business questions and recommend actions.
• Apply statistical techniques to interpret data results.
• Present findings clearly to enable data-driven decisions.
• Collaborate with partners for a holistic view of analysis.
• Monitor results and ensure data governance and compliance.

Skills

Forecasting

Data analytics

Analytical skills

Project management

Communication

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 senior Loss Forecasting Analyst to join the Consumer and Business Banking analytics team in Denver.

The role emphasizes forecasting experience, model risk governance, and strong analytical capabilities to deliver insights that influence business decisions. Candidates should have banking experience, fluency with analytics tools, and the ability to communicate complex results to partners.