Life Insurance Jobs in South Bay

238,341 open positions · Updated daily

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

Custom Cabinet Builder

Company: Da Lin Wood Inc

Location: South El Monte, CA

Posted Sep 23, 2025

Valid driver’s license (company vehicle provided for travel to job sites). Requires own set of personal hand tools and power tools(shop supplies larger…

Welder - Level 1

Company: Precision Castparts Corp.

Location: South Gate, CA

Posted Sep 24, 2025

Person, as defined in those regulations, and able to supply evidence of that qualification prior to starting work or be authorized to receive controlled…

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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