Actuarial Manager - Remote

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.

The Actuarial Manager will be a key member of the UHG Trend Analytics team, focused on developing and managing the Trend forecasting model for the analytics team. This role is responsible for leading forecasting model development using standardized and best-in-class trend methodologies to ensure consistent, accurate cost reporting across United Health Group. The ideal candidate will bring expertise in healthcare data analysis, forecasting, and reporting, strong collaboration skills, and at least 5 years' relevant actuarial experience.

The Manager in this role will work with detailed health care claims data to build and maintain actuarial models to support medical expense reporting, analytics, and forecasting.

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.

• Lead the development and enhancements for the trend forecasting model
• Design and implement analytic methods that promote consistency with enterprise-wide medical cost reporting standards
• Develop, maintain, and enhance modeling functionality and features—ensuring timely delivery of actionable insights to business stakeholders
• Collaborate closely with finance, operations, and other analytic teams to drive transparency and alignment in medical trend measurement
• Analyze large healthcare datasets to identify trends, variances, and opportunities for cost management
• Present findings and recommendations clearly to both technical teams and senior leadership
• Support continuous improvement by identifying areas to automate or optimize existing processes
• Mentor junior analysts; contribute to team development initiatives
• Support ad-hoc analytic requests related to medical expense trends as needed

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.

• Bachelor's degree in Actuarial Science, Mathematics, Statistics, or related field
• Currently on the Actuarial exam track, having passed a minimum of five or more Actuarial exams
• 6+ years of actuarial experience in healthcare analytics or medical expense reporting roles
• 4+ years of experience developing and managing forecasting models including macro development
• 2+ years of experience collaborating with cross functional partners and presenting analytical findings
• Advanced proficiency in MS Excel, and experience designing and running complex data programs, (e.g., extract and analyze data via R, SAS, SQL, Python, Power
  
  BI, VBA, predictive modeling, .net )
• Demonstrated expertise with healthcare claims data analysis
• Proven excellent written and verbal communication skills; able to present technical findings effectively
• Proven ability to create efficient and scalable models and develop data storage and architecture solutions
• Driver's License and access to a reliable transportation

• Credentialed Actuary (FSA or ASA)
• Experience in Healthcare Consulting
• Experience with project management
• Proven solid organizational skills; ability to manage multiple priorities in a matrixed organization
• Local to Eden Prairie, MN

* All employees working remotely will be required to adhere to United Health Group's Telecommuter Policy

Pay is based on several factors including but not limited to local labor markets, education, work…