4-6 years of actuarial experience, preferably in health insurance or predictive analytics., Bachelor’s degree in Mathematics, Statistics, Economics, or Actuarial Science., Advanced proficiency in Excel and relational database languages like SQL; experience with Python is a plus., Strong analytical, problem-solving, and communication skills..
Key responsabilities:
Develop performance studies to demonstrate Prealize solutions.
Analyze predictive model outputs for meaningful business applications.
Work with large datasets using cloud-based tools like DataBricks.
Collaborate with data science and product teams to integrate actuarial methodologies into product development.
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Prealize connects tomorrow’s predictive insights to today’s most effective actions. Based in Palo Alto, Calif., the company is committed to transforming healthcare from reactive to proactive, so that more people can live healthier lives.
Prealize partners with health plans, employers and providers across the nation to power proactive healthcare.
Prealize marries state-of-the-art AI-enabled data science with “next-best action” health insights. We are committed to transforming healthcare from reactive to proactive, reducing healthcare costs and enabling more people to live healthier lives. Prealize partners with health plans, specialty care management companies, healthcare technology companies, employers, and providers across the nation to positively influence the health trajectory of millions of people.
About the Role: As an Associate Actuary on our product team, you will be a key player in turning predictive models into actionable business solutions. You will work closely with data science, analytics and product teams to develop predictive model performance assessments, demonstrate appropriate use of models for health lines, support business and market forecasting. This role requires strong analytical skills, actuarial expertise, and advanced proficiency in Excel and data analysis. What You’ll Do:
Demonstrate Prealize solution through development of performance studies.
Analyze and interpret predictive model outputs, ensuring they translate into meaningful business applications
Work with large datasets using cloud-based tools like DataBricks
Work in Excel and to generate insights and actuarial exhibits
Collaborate with data science, analytics and product team members to integrate actuarial methodologies into product development
What You’ll Need:
4-6 years of actuarial experience, preferably in health insurance, risk modeling, or predictive analytics.
Experience in group health, stop-loss, PEO, or level-funded insurance products. Experience with Value Based Care models (VBC) is a plus.
Advanced proficiency in Excel and relational database language (such as SQL or cloud-based tools); experience with Python is a plus.
Strong background in rate factor development and pricing models.
Associate of the Society of Actuaries (ASA).
Bachelor’s degree in Mathematics, Statistics, Economics, or Actuarial Science.
Strong analytical, problem-solving, and communication skills.
What We Offer:
Flexible work environment
Competitive base salary plus a generous bonus and equity plan
Paid time off including holidays
Medical, dental, vision
401k
Wellness and home office benefits, and more
Pay Transparency: The target salary range is $115,000 to $135,000 annually. Base pay offered may vary within the posted range based on several factors, including but not limited to education, job-related knowledge, skills, experience, and location.
Diversity, Equity & Inclusion: Prealize embraces diversity and equal opportunity in a serious way. We are committed to building a team that unites a variety of backgrounds, perspectives, and skills. The more inclusive we are, the greater our impact will be.
Required profile
Experience
Spoken language(s):
English
Check out the description to know which languages are mandatory.