Lead Business Analyst – Insurance – IFRS Medical Underwriting
4 days ago
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
We are seeking a highly experienced Lead Business Analyst to lead business analysis activities for the Life Admin modules of our insurance administration platform. This role requires deep domain expertise in insurance or reinsurance, strong analytical capabilities, and the ability to leverage GenAI tooling to accelerate backlog authoring, documentation, and stakeholder engagement.
Responsibilities
- Lead the elicitation, analysis, and documentation of business requirements for Reinsurance components such as UW, Premium and Claims processing
- Translate complex insurance/reinsurance concepts into clear, actionable user stories and backlog items
- Collaborate with Product Owners, Technical Leads, and Data Engineers to ensure alignment between business needs and technical solutions
- Leverage GenAI tools to draft and refine backlog items, generate documentation, process maps, and test scenarios, summarize regulatory or actuarial inputs as system requirements, and automate traceability matrices and impact assessments
- Facilitate workshops, sprint planning sessions, and retrospectives with a focus on business value delivery
- Support data analysis and validation efforts using SQL and reporting tools
- Act as a domain expert for Life Admin workflows, bordereaux processing, and treaty management
Requirements
- 10+ years of experience as a Business Analyst, with significant exposure to insurance or reinsurance domains
- Strong understanding of Life Admin systems, including premium verification, claims assessment, and treaty onboarding
- Proficiency in SQL and data analysis for requirement validation and reporting
- Experience with agile methodologies and backlog management tools (e.g., Azure DevOps, Jira)
- Hands-on experience with GenAI platforms (e.g., Azure OpenAI, ChatGPT, GitHub Copilot) for documentation and productivity
- Strategic thinking and stakeholder management skills
- Excellent communication and facilitation skills
- Leadership and mentoring capabilities
- Curiosity and adaptability to explore emerging technologies like GenAI
- Strong analytical mindset with attention to detail
- English level of minimum B2 (Upper-Intermediate) for effective communication
Nice to have
- Familiarity with bordereaux transformation and medical underwriting workflows
- Understanding of GDPR, IFRS 17, and data privacy regulations
- Experience working with cross-functional squads, including developers, QA engineers, and data engineers
We offer
- Opportunity to work on technical challenges that may impact across geographies
- Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
- Opportunity to share your ideas on international platforms
- Sponsored Tech Talks & Hackathons
- Unlimited access to LinkedIn learning solutions
- Possibility to relocate to any EPAM office for short and long-term projects
- Focused individual development
- Benefit package:
- Health benefits
- Retirement benefits
- Paid time off
- Flexible benefits
- Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)
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Chennai, Tamil Nadu, India EPAM Systems Full timeWe are looking for a highly experiencedSenior Business Analystto drive business analysis activities for the Life Admin modules of our insurance administration platform. This role requires deep domain expertise ininsurance or reinsurance, strong analytical capabilities, and the ability to leverageGenAI toolingto accelerate backlog authoring, documentation,...
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