Senior Director, Remote Credit Risk Data Science

First National Bank of Omaha; Utah; Remote; USD 159,000 - 270,000; Full time

Benefits offered by this job

Medical Insurance

401k With Matching

Time Off Programs

Health Savings Account (HSA)

Employee Banking

Growth Opportunities

Tuition Assistance

Disability Insurance

Job summary

First National Bank of Omaha seeks a Sr. Director, Advanced Data Scientist to lead the data science and modeling roadmap for credit decisioning and portfolio management. You will drive cross-functional alignment with risk, compliance, and technology to deliver scalable business impact.

The role requires deep quantitative expertise, executive presence, and responsibility for end-to-end model ownership, including deployment and monitoring of advanced ML techniques across large datasets.

Qualifications

• Master's or PhD in statistics, data science, CS, math, OR, econometrics or related field.
• PhD strongly preferred for candidates with strong ML/research in quantitative finance.

Responsibilities

• Define and own multi-year modeling roadmap for credit-risk acquisition and portfolio models.
• Lead discussions with senior stakeholders to align methodology, priorities, and risk considerations.
• Independently design and develop advanced ML models for credit risk and portfolio management.
• Perform feature engineering, model development, and performance evaluation.
• Establish training, validation, and out-of-time testing strategies.
• Document methodology and collaborate with model validation and risk teams.

Skills

Python/R

SQL

XGBoost/LightGBM

Neural networks

Explainable AI

Credit risk

Model lifecycle

Education

Master's or PhD in quantitative field

PhD strongly preferred

Job description

First National Bank of Omaha seeks a Sr. Director, Advanced Data Scientist to lead the data science and modeling roadmap for credit decisioning and portfolio management. You will drive cross-functional alignment with risk, compliance, and technology to deliver scalable business impact.

The role requires deep quantitative expertise, executive presence, and responsibility for end-to-end model ownership, including deployment and monitoring of advanced ML techniques across large datasets.