Non Life Insurance Business Analyst (Retail & Commercial)

Pune, MH, India

Expleo

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Overview

Role: Non‑Life Insurance Business Analyst (Retail & Commercial)

Experience: 6+ years in P&C insurance (retail & commercial)Employment Type: Full‑time

Location: Pune

Responsibilities

  • Domain & Commercial Product Expertise
    • Map and optimize non‑life processes (underwriting, issuance, claims, endorsements, renewals).
    • Configure commercial lines (SME, fleet, property) and retail products (motor, home, travel).
    • Implement embedded insurance across e‑commerce, mobility, and broker networks.
  • Embedded & Digital Distribution
    • Design embedded insurance workflows for banks, fintech, telematics, and mobility platforms.
    • Create customer-facing quoting and comparison flows for digital channels.
  • Configuration
    • Configure product lifecycle using low/no-code tools: product library, rules engine, API modules.
    • Leverage InsureMO’s P&C microservices and APIs for policy, claims, telematics integration.
  • AI-driven Automation & Innovation
    • Integrate AI/ML (OCR, NLP) for document ingestion (loss runs, schedules, claims notes).
    • Deploy automated underwriting and claims triage to enhance speed and accuracy.
  • Quality Assurance & Collaboration
    • Create and execute functional, regression, UAT scenarios for product and AI workflows.
    • Validate system performance in embedded and high-volume environments.
    • Lead Agile ceremonies: sprint planning, backlog grooming, daily stand-ups, demos, retrospectives.
    • Collaborate on product backlogs, prioritize epics and user stories, and manage acceptance criteria.
  • Wireframing, Prototyping & Documentation
    • Develop wireframes, mock-ups, and prototypes with tools such as Balsamiq, Draw.io, Axure, or Figma.
    • Produce comprehensive BRDs/FRDs, functional specs, process flows, and training materials.
  • Knowledge Transfer & Enablement
    • Conduct workshops and prepare user/admin guides to ensure smooth adoption and operational readiness.
  • Qualifications

    • 6+ years in non‑life insurance (retail & commercial).
    • 2+ years implementing insurance middleware (InsureMO or equivalent).
    • Proficient in embedded insurance and digital distribution strategies.
    • Demonstrated experience using AI tools (OCR, NLP, ML models) in insurance workflows.
    • Strong knowledge of Agile methodology with hands-on participation and backlog management.
    • Certified BA credentials (e.g., CBAP, CCBA, ECBA, Agile certification) required.
    • Skilled in wireframing, mock-ups, and prototyping using standard BA/UI tools.
    • Excellent analytical, technical, and communication skill
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    * Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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    Tags: Agile APIs FinTech Machine Learning Microservices ML models NLP OCR Prototyping

    Region: Asia/Pacific
    Country: India

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