Junior Risk Modeler: Credit Risk & ML

Credit One Bank; Las Vegas (NV); On-site; USD 80,000 - 115,000; Full time

Job summary

Credit One Bank in Las Vegas seeks a Risk Modeler I to join Risk Management. You will help develop and monitor consumer credit risk and decision models for individual borrowers and credit card accounts.

Under guidance, you will extract and join data using SQL and Python, perform feature engineering, and support governance and documentation to ensure compliant model deployment. The role focuses on building reproducible analyses, monitoring score distributions and communicating findings to

Qualifications

• Bachelor’s degree in quantitative discipline is required.
• 2+ years of modeling or quantitative analytics experience.
• Proficiency in Python/PySpark and SQL for data preparation and analysis.
• Knowledge of predictive modeling and model-performance metrics (KS, ROC/AUC).
• Ability to document analytical assumptions and limitations clearly.

Responsibilities

• Support development of risk and consumer-decision models.
• Extract and join data using SQL and Python/PySpark.
• Perform exploratory and multivariate analyses and feature engineering.
• Train/test splits and monitor model performance.
• Document development decisions and support model governance.

Skills

Statistical thinking

Data interpretation

Clear communication

Education

Bachelor’s degree in Statistics/Data Science/Quantitative field

Master’s degree preferred in related field

Tools

Python/PySpark

SQL

Git

Snowflake/BigQuery

Job description

Credit One Bank in Las Vegas seeks a Risk Modeler I to join Risk Management. You will help develop and monitor consumer credit risk and decision models for individual borrowers and credit card accounts.

Under guidance, you will extract and join data using SQL and Python, perform feature engineering, and support governance and documentation to ensure compliant model deployment. The role focuses on building reproducible analyses, monitoring score distributions and communicating findings to