Job Description

Your Role

The Actuarial Risk Score Forecasting team monitors, projects and ensures the accuracy of ACA, Medicare and Medi-Cal risk scores and the underlying data used to determine them. The Associate Actuarial Analyst will report to the Senior Manager of Risk Score Forecasting and will work closely with other members of the team to cross train on all roles within the team’s purview. The analyst will work closely with Actuarial Pricing and Financial Forecasting, help to automate internal processes and help to optimize projection methodologies.

Your Work

In this role, you will:

• Learn various actuarial techniques and procedures by: conducting analysis, assessing risk and population risk scores and assignment, developing pricing and trends, assessing changes in benefit designs, developing reserves, performing forecasting, analyzing provider reimbursement terms and/or evaluating actuarial risk related analysis
• Compile and categorize data, documenting and verifying the factors used in computations such as those used in evaluating loss and expense reserves, preparing rate filings, schedules of statistics, premiums, benefits, member risk data and score submissions and establishing rating and pricing levels
• Produce timely various standard analytic reports for internal and/or external use
• Study for exams towards credentials

Your Knowledge and Experience

 

• Requires a bachelor's degree in mathematics, statistics, computer science or related discipline or equivalent business experience
• Typically, has completed 1 to 2 courses towards the eventual attainment of the Associate, Society of Actuaries (ASA) designation
• No previous professional actuarial experience required but typically has obtained broad theoretical job knowledge through advanced education

Pay Range:

The pay range for this role is: $ 31.73 to $ 44.41 for California.

Note:

Please note that this range represents the pay range for this and many other positions at Blue Shield that fall into this pay grade. Blue Shield salaries are based on a variety of factors, including the candidate's experience, location (California, Bay area, or outside California), and current employee salaries for similar roles.

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