3 Credit Policy Management: Own credit policy and underwriting strategy by defining the credit box, debt-to-income standards, loan amount and term assignment, and risk-based pricing tiers. Perform swap-set analysis and champion/challenger testing behind every credit expansion and model change
3 Risk Analysis: Apply classification and regression trees and tree-ensemble methods (CART, random forest, gradient boosting) alongside traditional scorecard techniques to isolate materially different risk populations and determine where segment-level risk is significantly above expectations and profitability is below hurdle returns.
3 Predictive Analytics & Modeling: Own end-to-end risk analysis and development of consumer credit models like application and custom scorecards, behavioral and account management models, PD/LGD, loss forecasting, and collections propensity. Own end to end development and deployment of such models. Integrate these models downstream in credit decisions.
3 Risk Monitoring: Own portfolio surveillance (vintage curves, roll rates, KRIs against risk appetite), with defined thresholds that trigger credit or pricing actions. Run model performance monitoring (PSI, stability and calibration diagnostics, expected vs. actual by vintage) and report out on health of our models.
3 Governance: Serve as first-line owner for documentation, validation response, remediation, and model inventory. Follow and enhance internal governance procedures and policies. Ensure all changes are well documented and can pass muster with internal Audit and external regulators. Ensure models and strategies hold up under ECOA/Regulation B, FCRA, UDAAP, fair lending review, and risk management expectations.
3 Reach across the organization: Partner with Product, Data, Technology, Finance, Servicing/Collections, Second Line Risk, and Compliance; present to credit committee, senior leadership, validators, auditors, and examiners.

• 8+ years in consumer lending, preferably at a bank or regulated depository institution.
• Familiarity with credit policy management, pricing strategies and design-of-experiments
• A track record of building credit models end to end. Ability to walk through models you personally developed: the problem, the data, the method, the validation, and how they performed in production.
• Deep hands-on machine learning and statistical modeling skills, including tree-based segmentation and classical scorecard development.
• SQL plus Python (pandas, scikit-learn, XGBoost/LightGBM), R, or SAS; fluency with large loan-level and credit bureau datasets and reproducible workflows.
• Experience inside a formal risk governance framework with three lines of defense, credit committee, model risk management, issue management, and audit or exam interaction.
• Excellent written and verbal communication, with credibility to influence decisions across functions without direct authority.
• Bachelor's degree in Engineering, Data Science, Statistics, Mathematics, Economics, or a related quantitative field; advanced degree preferred.
  Engineering or Data Science background with production machine learning experience. Model explainability and fair lending technique in a regulated setting (SHAP, monotonic constraints, AA reason codes, disparate impact testing). CECL, stress testing, or capital planning models. MLOps practice with exposure to model registry, automated scoring and report generation, drift monitoring. Experience across more than one consumer asset class. FDIC, OCC, or state examination exposure. Growth-stage or de novo bank environment.

Annual compensation for this role is $200,000 depending on experience

This position offers a hybrid work option. Nelnet values flexibility and understands the importance of work-life integration. Our hybrid work environment allows associates living within 30 miles of an office location to work remotely for part of the week, while also fostering collaboration and team connection through in-office presence three days per week. Candidates must be located in Draper, Utah.

Please note that we are unable to provide visa sponsorship for this position. To be considered, candidates must already be authorized to work in the United States without the need for current or future sponsorship.

Our benefits package includes medical, dental, vision, HSA and FSA, generous earned time off, 401K/student loan repayment, life insurance & AD&D insurance, employee assistance program, employee stock purchase program, tuition reimbursement, performance-based incentive pay, short- and long-term disability, and a robust wellness program. Click here to learn more about our benefits: Benefits & Perks - Nelnet Inc.