Life Insurance Jobs in San Antonio, Texas

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

AI Operations Specialist, Customer Service Platform - USDS

Company: TikTok

Location: San Jose, CA

Posted Apr 29, 2025

Minimum Qualifications - Bachelor's degree with 2+ years of relevant experience in operations (AI/NLP operations, product operations, or data analysis) - Strong…

Carpenter

Company: Hensel Phelps

Location: San Antonio, TX

Posted Apr 29, 2025

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed…

Craft Supervisor Carpenter

Company: BAE Systems

Location: San Diego, CA

Posted Apr 29, 2025

Must have 5 year's experience in the Ship repair trade industry, demonstrate technical knowledge in relevant to the trade, ability to plan schedule supervise,…

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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