Life Insurance Jobs in Remote

240,105 open positions · Updated daily

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

Senior FinOps Engineer

Company: Upwork

Location: Remote

Posted Jan 30, 2025

Systems Reliability Engineer

Company: IEX Group

Location: New York, NY / Remote

Posted Jan 30, 2025

Office 365 Engineer (REMOTE)

Company: RTX

Location: Remote

Posted Jan 30, 2025

Network Support l2-Avaya knowledge

Company: Kyndryl

Location: Alajuela, Costa Rica / Remote

Posted Jan 30, 2025

Associate, UM Optimization

Company: Oscar Health

Location: New York, NY / Remote

Posted Jan 30, 2025

Sr. Software Engineer

Company: AppFolio

Location: Remote

Posted Jan 30, 2025

Field Marketing Manager (US Remote)

Company: Ansys

Location: Atlanta, GA / Remote

Posted Jan 30, 2025

Solutions Consultant - Supply Chain & AI

Company: Kyndryl

Location: Turin, Italy / Remote

Posted Jan 30, 2025

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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