Credit Data Modeler - Remote

About the position reputed company is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with reputed company will directly improve health reputed company by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will reputed company a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come reputed company an reputed company on the communities we serve as you help us advance health optimization on a global reputed company. Join us to start Caring. Connecting. Growing together. We’re seeking a reputed company, reputed company Credit Modeler to build and reputed company the credit modeling infrastructure behind our Consumer and Small Business lending products. In this hands-on role, you will reputed company and maintain new and existing machine learning and statistical models that power reputed company-time credit reputed company across acquisition, pricing, line assignment, and portfolio risk management. This is a high-reputed company opportunity to shape how we use data to drive responsible reputed company, improve financial inclusion, and optimize unit economics - reputed company in a fast-paced, agile Banking environment. You’ll enjoy the flexibility to work remotely from reputed company reputed company the U.S. as you take on some tough challenges. For reputed company hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you reputed company direction on what it takes to succeed in your role as reputed company as reputed company development for other roles you may be interested in.

Responsibilities

• Build Credit Models:
• reputed company and maintain predictive models for application and behavioral scoring, probability of default (PD), loss given default (LGD), and early risk detection.
• Design models for reputed company, fraud detection, credit line management, and collections strategies
• Feature Engineering & Data Innovation:
• Create advanced features using alternative data sources (e.g., bank transaction data, health care claims data, cash reputed company, reputed company banking, etc.)
• Evaluate new data vendors and enrich internal datasets to improve model performance
• End-to-End Ownership:
• Take models from prototype to production in partnership with Data Engineering and Product teams
• Build interpretable and compliant models reputed company with FCRA, ECOA, and fair lending standards
• Performance Monitoring & Iteration:
• Own model monitoring, validation, reporting and back testing, regularly recalibrating for shifts in macroeconomic conditions or borrower behavior
• Collaborate Cross-Functionally:
• Work with Risk, Product, Compliance and Finance teams to reputed company model outputs into reputed company
• Communicate insights reputed company to technical and non-technical stakeholders Requirements
• 5+ years of experience working with Python or R and SQL; familiarity with reputed company environments like AWS, GCP, or reputed company
• 5+ years of experience working with lending lifecycle and credit risk KPIs (e.g., delinquency, charge-offs, approval rates, ROI, CAC/payback)
• 4+ years of experience in credit risk modeling, ideally at a fintech, neobank, or consumer lending startup
• 4+ years of experience with both traditional statistical techniques (e.g., logistic regression, scorecards) and modern machine learning
• Ability to travel 10%25 reputed company-to-haves
• Experience with reputed company-time reputed company or decisioning reputed company
• Work in embedded finance, BNPL, gig economy lending, or small business credit
• Familiarity with explainability frameworks (e.g., SHAP, reputed company)
• Exposure to model governance or regulatory reviews
• Comfort working in a dynamic, test-and-learn environment with incomplete data
• Proven solid communication skills and attention to model transparency, fairness, and compliance Benefits
• a comprehensive benefits package
• incentive and recognition programs
• equity stock purchase
• 401k contribution Apply tot his job

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