Life Insurance Jobs in Chennai, India

28,401 open positions · Updated daily

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

Site Reliability Engineer

Company: Qlik

Location: Bangalore, India

Posted Jan 22, 2025

Senior Engineer

Company: Wind River

Location: Bangalore, India

Posted Jan 22, 2025

Full Stack Developer

Company: Broadridge

Location: Mumbai, India

Posted Jan 22, 2025

Package Consultant: SAP Ariba

Company: IBM

Location: Pune, India

Posted Jan 22, 2025

As a Package Consultant at IBM, you'll work in a Client Innovation Center, delivering technical and industry expertise to clients globally. Your role involves designing, developing, and integrating complex application components using various tools. You'll combine Source to Pay process expertise with Ariba applications knowledge to present Supply Chain solutions to clients. This role requires 5-12 years of SAP Ariba experience, with at least 2 full life-cycle implementations and 2 years of experience in team lead and consulting roles.

Learning Program Manager

Company: UKG

Location: Noida, India

Posted Jan 22, 2025

Lead, ERP Business Analyst - SAP SD

Company: Schneider Electric

Location: Bangalore, India

Posted Jan 22, 2025

The text describes a job posting for a SAP SD Consultant with 5-8 years of experience and a BE/B Tech./MCA degree. The role involves application support, project implementation, and understanding of sales processes, contract management, and pricing concepts. The candidate should have experience in SAP SD, front office business processes, and good communication and teamwork skills. Schneider Electric, the employer, values diversity and inclusivity.

Senior Business Analyst - SAP BW

Company: EPAM Systems

Location: Hyderabad, India

Posted Jan 22, 2025

Senior Principal Engineer

Company: BitGo

Location: Hinganghāt, India

Posted Jan 22, 2025

Software Engineering Manager - AI Recommender Systems

Company: Thomson Reuters

Location: Bangalore, India

Posted Jan 22, 2025

Thomson Reuters is seeking a Software Engineering Manager - AI / ML (Recommender Systems) to lead the technical implementation of solutions, drive machine learning solutions development, and manage technical deliverables. The role involves contributing to technical design, providing technical oversight, and fostering a culture of continuous improvement and innovation. The ideal candidate should have 8+ years in real-world ML problem-solving, experience in people management, and expertise in data processing, ML systems, MLOps, and infrastructure. Thomson Reuters offers a flexible hybrid working environment, comprehensive benefits, and opportunities for professional growth.

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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