Senior Director, Credit Risk Data Science (Remote)

First National Bank of Omaha; Idaho; Hybrid; USD 159.000 - 270.000; Vollzeit

Benefits dieser Stelle

Medical, Dental, Vision Insurance

401k with Matching Contributions

Time Off Programs

Health Savings Account (HSA)

Zusammenfassung

First National Bank of Omaha seeks a Sr. Director, Advanced Data Scientist to lead the Partnership Division's data science and modeling agenda.

You will define multi-year modeling roadmaps, oversee credit decisioning models, and drive measurable business impact at scale through cross-functional collaboration and executive communication. This role combines deep quantitative expertise with strategic influence, requiring leadership in model development, validation, and monitoring, plus the ability

Qualifikationen

• Master's or PhD in a quantitative field.
• PhD strongly preferred for candidates with research in ML/statistics/quantitative finance.
• 7+ years of experience building statistical or ML models in financial services/credit.

Aufgaben

• Define multi-year modeling roadmap for credit-risk acquisition and portfolio models.
• Lead end-to-end model development from problem definition to production deployment.
• Perform feature engineering, variable selection, and hyperparameter tuning.
• Monitor model performance, stability, and degradation; recalibrate as needed.
• Communicate results to senior leaders and stakeholders; ensure regulatory alignment.

Kenntnisse

Python

R

SQL

Credit risk concepts

Modeling

SHAP / Explainability

Leadership communication

ML algorithms

Ausbildung

Master's degree in Statistics / Data Science / CS / Math / OR

PhD strongly preferred

Tools

XGBoost

LightGBM

Ensemble methods

Neural networks

SHAP

Jobbeschreibung

First National Bank of Omaha seeks a Sr. Director, Advanced Data Scientist to lead the Partnership Division's data science and modeling agenda.

You will define multi-year modeling roadmaps, oversee credit decisioning models, and drive measurable business impact at scale through cross-functional collaboration and executive communication. This role combines deep quantitative expertise with strategic influence, requiring leadership in model development, validation, and monitoring, plus the ability