Senior Actuarial Analyst

Smith Hanley Associates; Town of Grafton (WI); Hybrid; USD 120,000 - 155,000; Full time

Job summary

Smith Hanley Associates is seeking a Senior Actuarial Analyst to strengthen the Actuarial Finance team. The role blends financial forecasting, actuarial modeling, and data analysis to inform senior leadership.

You will partner with finance, clinical, and strategy teams to explain performance drivers, assess risks, and automate recurring analyses using scripting and validated AI tools. Healthcare industry experience is preferred, with strong Excel, SQL, and Python skills.

Qualifications

• Analyze and forecast value-based care metrics and identify trends and risks.
• Build and maintain actuarial/financial models for forecasting and risk evaluation.
• Translate analyses into executive-ready summaries for senior leaders.
• Develop scalable data tools and automated workflows.
• Bachelor’s degree in actuarial science, mathematics, statistics or related field; 5+ years in actuarial/finance roles; 5+ years in healthcare.
• Strong Excel/SQL; SAS/R/Python; knowledge of risk-based reimbursement models preferred.

Skills

Value-based care analysis

Actuarial and financial modeling

Executive communication

Data automation

Healthcare industry experience

Excel

SQL

SAS

R

Python

5+ years actuarial experience

Education

Bachelor's degree in actuarial science, mathematics, statistics, or related quantitative field

5+ years in actuarial/finance roles

Tools

Excel

SQL

SAS

R

Python

Job description

Title: Senior Actuarial Analyst

Location: Remote

Compensation: $120,000-$155,000 + 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.