Senior Actuarial Analyst (Health)

Smith Hanley Associates; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

Smith Hanley Associates invites a Senior Actuarial Analyst (Health) to join remotely in the United States. The role strengthens the Actuarial Finance team with forecasting, modeling, and data analysis, communicating insights to senior leadership.

You will partner with finance, clinical, and strategy teams to explain drivers, assess risks, and improve decision-making in value-based care programs. The ideal candidate brings 5+ years in actuarial/finance, healthcare experience, and strong

Qualifications

• Bachelor's degree in actuarial science, mathematics, statistics, or related field.
• 5+ years in actuarial, analytical, or finance roles.
• 5+ years in healthcare, managed care, or regulated industry.
• Strong Excel and SQL, SAS, R, or Python skills.
• Experience with VBC/ACO/MA/MSSP or risk-based models preferred.

Responsibilities

• Forecast value-based care membership, revenue, and medical expenses; identify trends and risks.
• Build actuarial and financial models for forecasting and performance tracking.
• Translate analyses into executive-ready summaries for leadership.
• Develop scalable data tools and automated workflows with validated AI tools.
• Collaborate with actuarial, finance, clinical, and strategy teams on drivers.

Skills

Forecasting

Actuarial modeling

Data analysis

Executive communication

Automation

Excel

Python

Education

Bachelor's degree in actuarial science / mathematics / statistics

Tools

SQL

SAS

R

Python

Excel

Job description

Title: Senior Actuarial Analyst (Health)

Location: Remote

Compensation: $120,000-$160,000 + Bonus

Actuarial Summary

We are seeking a Senior Actuarial Analyst to strengthen the Actuarial Finance team and support value-based care performance. This role combines financial forecasting, actuarial modeling, and data analysis with clear communication for senior leadership. You’ll partner with finance, clinical, and strategy teams to explain performance drivers, assess emerging risks, and improve decision-making. The ideal candidate brings healthcare industry experience, strong technical skills, and a proven ability to automate recurring analyses while applying sound judgment, appropriate controls, and responsible AI practices.

Skills and Qualifications

• Analyze, forecast, and support accurate, timely recognition of value-based care membership, revenue, and medical expenses, identifying trends, utilization drivers, and emerging risks.
• Build and maintain actuarial and financial models for forecasting, performance tracking, trend projections, and risk arrangement evaluation.
• Translate complex analyses into executive-ready summaries and performance narratives, collaborating with actuarial, finance, clinical, and strategy teams.
• Develop scalable data tools and automated workflows using scripting, standardized models, and responsibly validated AI tools to improve accuracy and reduce manual effort.
• Hold a bachelor’s degree in actuarial science, mathematics, statistics, or a related quantitative field, with 5+ years in actuarial, analytical, or finance roles and 5+ years in healthcare, managed care, or another regulated industry.
• Bring strong Excel and SQL, SAS, R, Python, or comparable skills, alongside sound judgment and clear communication; experience with VBC, ACOs, MA, MSSP, or other risk-based reimbursement models is preferred