Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:
Build Credit Models:
- Develop and maintain predictive models for application and behavioral scoring, probability of default (PD), loss given default (LGD), and early risk detection, ideally for commercial line of credit products
- Design models for underwriting, 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 flow, open 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 aligned 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 integrate model outputs into strategy
- Communicate insights clearly to technical and non-technical stakeholders
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
- Master's degree in a quantitative discipline (Statistics, Mathematics, Data Science, Economics, Computer Science, etc.)
- 5+ years experience working with Python or R and SQL; familiarity with cloud environments like AWS, GCP, or Snowflake
- 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 for commercial line of credit products
- 4+ years of experience with both traditional statistical techniques (e.g., logistic regression, scorecards) and modern machine learning
Preferred Qualifications:
- Experience with real-time underwriting or decisioning APIs
- Work in embedded finance, BNPL, gig economy lending, or small business credit
- Familiarity with explainability frameworks (e.g., SHAP, LIME)
- 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
*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,700 - $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and help make the health system work better for everyone. Together, we are shaping the future of healthcare by harnessing technology and innovation to make care simpler to navigate, more affordable and more connected for the people we serve. We are committed to creating an inclusive workplace where everyone feels welcomed, valued, heard and respected, empowering people to bring their authentic selves to work and strengthening our collective impact through diverse talents, backgrounds, experiences and perspectives.
UnitedHealth Group and its affiliated brands are an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group and its affiliated brands are a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
Skills Required
- Master's degree in a quantitative discipline such as Statistics, Mathematics, Data Science, Economics, or Computer Science
- 5+ years of experience working with Python or R and SQL
- Familiarity with cloud environments such as AWS, GCP, or Snowflake
- 5+ years of experience working with lending lifecycle and credit risk KPIs, including delinquency, charge-offs, approval rates, ROI, or CAC/payback
- 4+ years of experience in credit risk modeling, ideally within fintech, neobank, or consumer lending startups involving commercial lines of credit
- 4+ years of experience with traditional statistical techniques such as logistic regression and scorecards, as well as modern machine learning
- Experience with real-time underwriting or decisioning APIs
- Experience in embedded finance, BNPL, gig economy lending, or small business credit
- Familiarity with explainability frameworks such as SHAP or LIME
- Exposure to model governance or regulatory reviews
- Comfort working in dynamic, test-and-learn environments with incomplete data
- Strong communication skills and attention to model transparency, fairness, and compliance
Optum Compensation & Benefits Highlights
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Leave & Time Off Breadth — PTO is generally described as decent or good, and many note it as a strong part of the package. Actual ability to take time off can depend on workload and team coverage.
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Retirement Support — Offerings include a 401(k) with employer match and access to an employee stock purchase plan, which are highlighted as meaningful components of total rewards. These programs are consistently referenced among core benefits.
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Parental & Family Support — Parental and caregiver leave, along with adoption assistance, are publicly highlighted and viewed as notable elements of the package. Availability can be role-specific, but these supports contribute to overall breadth where offered.
Optum Insights
What We Do
Optum, part of the UnitedHealth Group family of businesses, is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. At Optum, we support your well-being with an understanding team, extensive benefits and rewarding opportunities. By joining us, you’ll have the resources to drive system transformation while we help you take care of your future. We recognize the power of connection to drive change, improve efficiency and make a difference in health care. Join a team where your skills and ideas can make an impact and where collaboration is key to creating technology that produces healthier outcomes.
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Optum Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Optum has three workplace models that balance the needs of the business and the responsibilities of each role. These models, core on‑site (5 days/week), hybrid (4 days/week) and telecommute or fully remote, vary by country, role and location.