Life Insurance Jobs in California

89,965 open positions · Updated daily

Looking for Life Insurance jobs in California? Browse our curated listings with transparent salary information to find the perfect Life Insurance position in the California area.

Special Education Teacher (SPED)

Company: The Stepping Stones Group

Location: California

Posted Oct 10, 2025

Valid CA license or certification for Special Education Teaching. Spread Pay Plan: Enjoy a consistent income throughout the year.

Senior Accountant

Company: FUJIIRYOKI INC

Location: California

Posted Oct 10, 2025

Work with Inside Sales team to ensure order entry accuracy and implement improvements to processes. Support and develop product costs and margin models.

Frequently Asked Questions

What are typical salary ranges by seniority in Life Insurance tech roles?
Entry‑level Actuarial Analysts earn $70k–$90k; mid‑level analysts $90k–$120k; senior analysts or data scientists $120k–$160k; directors and VP‑level roles range $160k–$220k, often with bonus and equity components.
What skills and certifications are required?
Actuarial exams (SOA/ CAS), CPCU, or CFA; proficiency in SAS, R, Python, SQL; data visualization with Tableau or Power BI; Salesforce and API integration for underwriting; knowledge of Solvency II, Dodd‑Frank, and ESG reporting frameworks.
Is remote work available for Life Insurance tech positions?
Yes—many firms offer fully remote or hybrid models for analytics, software engineering, and product roles. Typical policies allow 3–5 remote days per week, with optional in‑office meetings for cross‑functional collaboration.
What career progression paths exist in Life Insurance tech?
Start as an Actuarial Analyst or Data Scientist, advance to Senior Analyst or Automation Engineer, then to Manager or Lead Analyst, followed by Director of Analytics or VP of Technology, and ultimately Chief Data Officer or Chief Actuary.
What industry trends are shaping Life Insurance tech?
AI‑driven underwriting, real‑time pricing engines, micro‑insurance platforms, ESG risk modeling, regulatory tech (RegTech) for compliance, automated claims processing, and blockchain for policy lifecycle management.

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