• Actuary / Health Economist

    Stralynn Consulting Services, Inc. (Baltimore, MD)


    Actuary / Health Economist

     

    This role is paramount for developing and refining sophisticated financial and predictive models within the healthcare sector. The Actuary/Health Economist will apply advanced quantitative methods to analyze complex health data, assess the financial implications of various programs, and forecast future trends. This position demands a deep understanding of economic principles, statistical modeling, and the ability to translate intricate analytical findings into actionable insights that drive strategic decision-making and optimize program performance.

    Responsibilities:

    + Design, develop, and validate complex financial models for healthcare initiatives, including cost projections, risk adjustments, and payment simulations.

    + Conduct rigorous quantitative analyses of healthcare utilization, cost, and quality data to identify key drivers, trends, and areas for improvement.

    + Apply actuarial and econometric methodologies to assess the financial impact and effectiveness of new care delivery models and policy changes.

    + Develop and implement predictive models to forecast healthcare expenditures, enrollment patterns, and patient outcomes, informing strategic planning.

    + Collaborate closely with data engineering and business intelligence teams to ensure data accuracy, accessibility, and proper integration for analytical purposes.

    + Translate complex analytical findings into clear, concise reports and presentations for diverse audiences, supporting evidence-based decision-making.

    + Provide expert consultation on healthcare economics, policy implications, and advanced statistical methodologies to internal teams and external collaborators.

    + Ensure all model designs, analyses, and documentation adhere to stringent quality standards and industry best practices for reproducibility and auditability.

    + Continuously research and evaluate emerging analytical techniques, tools, and data sources to enhance modeling capabilities and improve forecasting accuracy.

    + Contribute to the development of innovative solutions for healthcare financing and delivery, leveraging cutting-edge analytical approaches.

    Certifications:

    + Relevant actuarial certifications (e.g., Associate or Fellow of the Society of Actuaries) or professional certifications in health economics or advanced analytics.

    Experience required:

    + 5+ years of experience in actuarial science, health economics, or a related quantitative analytical role within the healthcare industry.

    + Demonstrated expertise in designing and developing financial and predictive models, with a strong portfolio of successful projects.

    + Extensive experience working with large-scale healthcare datasets and applying advanced statistical and econometric analysis techniques.

    + Proficiency in statistical software and programming languages such as R, Python (with libraries like Pandas, NumPy, Scikit-learn, Statsmodels), and potentially SAS.

    + Experience with cloud-based data platforms like Snowflake and Databricks within a secure analytical environment.

    Key Skills:

    + Financial Modeling

    + Actuarial Science

    + Health Economics

    + Statistical Analysis

    + Predictive Modeling

    + Econometrics

    + Data Interpretation

    + R, Python, SAS

    + Snowflake, Databricks

    + Communication

    Education:

    + Master's or Ph.D. in Actuarial Science, Economics, Statistics, Public Health, or a closely related quantitative field.

     

    Powered by JazzHR