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Insurance Specialist
Insurance SpecialistScry AI • Karnataka, India
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Insurance Specialist

Insurance Specialist

Scry AI • Karnataka, India
16 hours ago
Job description

Position : Insurance Specialist (SME – Claims, Underwriting & Compliance)

Location : India (Remote)

Employment Type : Full-Time

Schedule : Monday to Friday, Day Shift

Experience : 2+ Years in Insurance Operations, Claims Management, or Underwriting (experience with AI-driven insurance or digital tools preferred)

Company Description

Scry AI is a research-led enterprise AI company that builds intelligent platforms to drive efficiency, insight, and compliance. Our platforms Collatio®, Auriga®, and Concentio® streamline complex workflows by automating data extraction, validation, reconciliation, and delivering real-time intelligence.

We are seeking an Insurance Specialist (SME for our product suite) to strengthen claims accuracy, risk assessment, and compliance using Scry AI solutions. This role ensures efficiency, transparency, and customer trust in insurance operations.

Role Overview

As an Insurance Specialist, you will be responsible for managing insurance applications, claims processing, and policy administration while ensuring compliance with industry standards and regulations.

You will serve as a subject matter expert (SME) for Scry AI’s solutions such as Collatio® – Claims Automation & Fraud Detection, Auriga® – Real-Time Intelligence, and Concentio® – Data Intelligence, applying them to real-world insurance workflows.

This role requires both domain expertise in insurance operations and the ability to leverage AI-driven automation tools to improve efficiency, detect fraud, and enhance customer experience.

Key Responsibilities

Insurance Operations & Policy Management

  • Review and process insurance applications, endorsements, and claims.
  • Ensure underwriting decisions are consistent with policy guidelines and compliance requirements.
  • Validate documentation and financial / medical records for accuracy and completeness.

AI-Driven Insurance Optimization (SME Role)

  • Use Collatio® Claims Intelligence to streamline claims validation and detect fraudulent patterns.
  • Apply Collatio® KYC & EDD for enhanced due diligence and compliance checks.
  • Leverage Auriga® to query policy / claims data, generate reports, and provide real-time insights.
  • Create automated dashboards for claims ratios, settlement times, and compliance metrics.
  • Compliance & Risk Oversight

  • Ensure adherence to IRDAI guidelines and internal compliance standards.
  • Identify risk trends across underwriting and claims, recommending preventive strategies.
  • Maintain audit-ready records and compliance documentation.
  • Cross-Functional Collaboration

  • Work with underwriters, claims examiners, and compliance teams to optimize workflows.
  • Provide insights to product and engineering teams on insurance-related automation use cases.
  • Support training and adoption of AI-powered insurance solutions.
  • Required Qualifications & Skills

  • 2+ years of experience in insurance operations, claims processing, or underwriting.
  • Strong knowledge of IRDAI regulations, claims practices, and risk management.
  • Experience with AI / automation platforms for insurance processes is a plus.
  • Proficiency in MS Excel / Google Sheets, insurance management systems, and compliance tools.
  • Excellent analytical, problem-solving, and report-writing skills.
  • Strong attention to detail with a customer- and compliance-first mindset.
  • Our Ideal Candidate

  • Has both insurance domain expertise and enthusiasm for AI-driven transformation.
  • Thrives in a compliance-driven yet customer-focused environment.
  • Is proactive in identifying inefficiencies and applying AI to optimize insurance workflows.
  • Comfortable working in a remote or hybrid setup.
  • Tip for Candidates

    If you want to shape the future of AI-powered insurance operations and compliance, follow our page and stay updated on opportunities to grow with us.

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    Insurance Specialist • Karnataka, India

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