Life Insurance Jobs in Princeton-Trenton

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

Decision Analytics Associate (Princeton, New York)

Company: ZS

Location: Princeton-Trenton

Posted Feb 03, 2025

ZS is a management consulting and technology firm that focuses on improving life and how we live it. The company values its people, who work collaboratively with clients to develop custom solutions and technology products. ZS's Insights & Analytics group partners with clients to design and deliver solutions to tackle business challenges. The role involves developing advanced statistical models, leveraging analytic techniques, and communicating results to clients. The ideal candidate should have a degree in a quantitative discipline, relevant job experience, fluency in English, programming skills, and strong communication abilities.

Retail Sales Merchandiser (Team Lead)

Company:

Location: Trenton, NJ

Posted Feb 03, 2025

Digital Experience Designer

Company: CVS Health

Location: Trenton, NJ

Posted Feb 03, 2025

Receiving Associate II

Company: Sonepar USA Inc

Location: Princeton, NJ

Posted Feb 03, 2025

Shift Supervisor Trainee

Company: CVS Health

Location: Princeton, NJ

Posted Feb 03, 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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