Actuarial Consultant, Surest / UHC Provider & Network Analytics - Remote (New York, NY preferred)
UnitedHealth Group
- Location
- New York, New York
- Work model
- Remote
- Level
- Mid
- Salary
- $91.7k – $163.7k/yr
Skills
About this role
At UnitedHealthcare, we're simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and optimized. Ready to make a difference? Join us to start Caring. Connecting. Growing together. We are looking for an actuarial professional to support high-impact analytics across Surest and UnitedHealthcare actuarial initiatives, with a focus on provider evaluation, network strategy, premium designation support, and data-driven healthcare affordability work. This role will help translate complex claims and provider data into actionable insights used by actuarial, network, product, and business partners. The position is a strong fit for someone who combines actuarial judgment, healthcare claims experience, analytical rigor, and the ability to communicate clearly with cross-functional stakeholders. This is a growth-oriented role with exposure to strategic work across Surest and broader UHC priorities. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all 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. The preferred location for this position is working with the team in the New York, NY office on a hybrid schedule.
Primary Responsibilities
Support actuarial analyses related to Surest and UHC provider, network, and affordability initiatives, including work connected to provider benchmarking and Premium Designation support Analyze healthcare claims, enrollment, provider, and financial data to identify cost, utilization, and performance patterns Build, validate, and maintain actuarial models, analytical datasets, dashboards, and recurring reporting processes Partner with actuarial, analytics, network, product, finance, and business stakeholders to translate analytical findings into practical business recommendations Contribute to methodology development for provider evaluation, benchmarking, network performance measurement, and related actuarial studies Document assumptions, methods, limitations, and business interpretation clearly enough for both technical and non-technical audiences Support quality review, peer review, and governance expectations for actuarial analyses and recurring deliverables Help identify opportunities to improve analytical workflows, including automation, reproducibility, and scalable data processes 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
Bachelor's degree in Actuarial Science, Mathematics, Statistics, Economics, Data Science, Finance, or a related quantitative field Progress toward obtaining Associate or Fellow of the Society of Actuaries designation 3+ years of actuarial/healthcare analytics experience Experience working with healthcare claims, medical cost, provider, network, utilization, pricing, reserving, risk adjustment, or related health insurance analytics Solid analytical skills, including ability to work with large datasets and evaluate results for reasonableness Intermediate or higher level of proficiency with analytical tools such as Excel and at least one programming/querying environment such as SQL, Python, R, SAS, or similar Ability to explain complex analytical findings clearly to business partners Demonstrated attention to detail, ownership, and ability to manage multiple priorities Preferred Qualifications: ASA or FSA Experience with commercial health insurance, value-based care, provider performance, network analytics, or healthcare affordability programs Experience with Python, SQL, Spark, Databricks, or cloud-based data