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.

Customer Enrollment Representative

Company: California Acquisition Agency

Location: South Los Angeles, CA

Posted Aug 14, 2025

Someone with 0-2 years of experience in brand marketing, sales, community outreach or a related field. You’ll spark conversations, recommend solutions, and help…

Registered Nurse II (RN) ICU FT days

Company: Houston Methodist Clear Lake Hospital

Location: Nassau Bay, TX

Posted Aug 13, 2025

Texas RN license or temporary TX RN license, should obtain permanent license within 90 days. Compact license acceptable according to current Board of Nursing…

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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