Life Insurance Jobs in Los Angeles, CA

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

Medical Assistant

Company: Kaiser Permanente

Location: Los Angeles, California

Posted May 19, 2025

Roofer

Company: Specialty Termite

Location: Pleasanton, CA

Posted May 19, 2025

We specialize in real estate transaction inspections and personal roofing needs, from small repairs to complete re-roofs and flat walking decks.

Distinguished Software Engineer- RUCKUS Edge

Company: Commscope

Location: Sunnyvale, CA

Posted May 18, 2025

Mentor and Inspire: Serve as a technical leader and mentor, championing engineering best practices, clean architecture, and performance optimization across…

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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