Actuarial Analyst, Sr. Principal Job at Blue Shield of California, Oakland, CA

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  • Blue Shield of California
  • Oakland, CA

Job Description

Your Role

 

The Sr. Principal Actuarial Analyst for our Medi-Cal team is responsible for overseeing rate development & rate analysis, Medi-Cal program analysis, experience reporting, and Medi-Cal program strategy. This position requires directly managing 1 actuarial analyst and partnering with Senior Leadership and cross-functional teams to drive successful strategy and analytics. This role will report directly to the Senior Director of Medicare Finance & CFO Promise Health Plan. Our leadership model is about developing great leaders at all levels and creating opportunities for our people to grow – personally, professionally, and financially. We are looking for leaders that are energized by creative and critical thinking, building and sustaining high-performing teams, getting results the right way, and fostering continuous learning.

Your Work

 

In this role, you will:

  • Rate Development/Analysis; Influence & Negotiation 
    • Be responsible for developing, updating, and evaluating all rate packages from DHCS including development factors, trend support, actuarial assumptions, program analysis, and risks or opportunities
    • Report to the CFO of Promise Health Plan and senior executives of Promise Health Plan financial opportunities and areas of focus for performance optimization
    • Assist with, and influence, rate negotiation and rate guidance
  • Revenue & Cost of Healthcare Forecasting for Medi-Cal / Promise Health Plan
    • Develop, implement, manage and own advanced analytics projects from end to end and proactively add improvements and enhancements
    • Explain and influence the project to audiences outside the job function and to senior leaders. Will drive and ensure alignment of project with team goals and long-term strategic goals
    • Conduct and develop analysis, assess risk and population risk scores and assignment, develop pricing and trends, assess changes in benefit designs, develop reserves, perform forecasting, analyze provider reimbursement terms and/or evaluate actuarial risk related analysis
  • Medi-Cal Program Actuarial Support & Revenue optimization 
  • Financial and Actuarial Process support and Talent development 
  • Medi-Cal strategy development & program planning
    • Acts as the lead subject matter expert in the data areas of claim, premium, membership, and/or risk score assignment
    • Work closely with Senior Leadership at Promise Health Plan to understand strategic direction and financial strengths and opportunities
    • Partner with financial and actuarial leaders to strengthen finance and actuarial processes and build strong talent pipelines
    • Partner with CFO of Promise Health Plan on annual budget setting process and on-going forecasting processes
    • Responsible for evaluating and explaining monthly financial variances to plan for revenue and cost of healthcare
  • Understand the core principles and act as an expert within a specialized discipline, along with the functionality underlying decision, descriptive, predictive and prescriptive advanced analytic methods

 

Your Knowledge and Experience

 

  • Requires a college degree in mathematics, statistics, computer science or equivalent business experience 
  • Requires 10 years of professional health actuarial experience. 
  • Requires a minimum of 5 years of experience in health actuarial pricing 
  • Requires an ASA
  • Requires expertise in the California Medi-Cal program, from either the carrier or consultant side 
  • Requires experience in rate development, rate analysis, and performance evaluation of a health plan 
  • Requires extensive knowledge of job area (including health plan operations) and regulations obtained through professional experience and advanced education
  • Requires a mastery level knowledge within the Actuarial job area and may have deeper knowledge of project management
  • Requires a high proficiency in applied statistics skills, such as distributions, statistical testing, and regression
  • Requires the ability to program in SQL, SAS and/or Tableau, and experience with common data science toolkits such as R and Python 

 

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