Remote Senior Actuarial Analyst: Value-Based Care Insights

Smith Hanley Associates

Town of Grafton (WI)

Hybrid

USD 120.000 - 155.000

Vollzeit

Vor 6 Tagen
Sei unter den ersten Bewerbenden
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Zusammenfassung

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.

Qualifikationen

  • 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.

Kenntnisse

Value-based care analysis
Actuarial and financial modeling
Executive communication
Data automation
Healthcare industry experience
Excel
SQL
SAS
R
Python
5+ years actuarial experience

Ausbildung

Bachelor's degree in actuarial science, mathematics, statistics, or related quantitative field
5+ years in actuarial/finance roles

Tools

Excel
SQL
SAS
R
Python

Jobbeschreibung

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.

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