Life Insurance Jobs in North America

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

Senior Data Scientist - Data Products (LLMs)

Company: Wealthsimple

Location: North America

Posted Feb 01, 2025

Wealthsimple, a leading Canadian fintech company, is seeking a Data Scientist with expertise in Natural Language Processing, Reinforcement Learning, and Large Language Models. The successful candidate will utilize LLMs to transform various aspects of the business, including product offerings, customer service, and internal operations. They will take end-to-end ownership of the model building lifecycle, collaborate with cross-functional teams, and ensure solutions are reliable, sustainable, and ethical. Wealthsimple offers competitive benefits, a remote-first culture, and a commitment to diversity and inclusion.

Assistant Project Manager (00392)

Company: PMA Consultants

Location: North Jersey

Posted Feb 01, 2025

PMA is seeking an Assistant Project Manager with a Bachelor's degree in engineering, construction management, or a related field. The role involves managing high-profile Aviation projects, including procurement, design reviews, cost analysis, and risk management. The position offers a hybrid work option and reports to the Senior Project Manager. PMA values employee wellbeing, diversity, and inclusion, providing competitive pay, benefits, and career development opportunities. The company is committed to fostering a culture of collaboration, accountability, and continuous improvement.

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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