Papaya Insurtech

Overview of job

• Serve as the primary business analysis liaison between Papaya and international insurance partners (Life & Non-life), translating complex insurance domain requirements into clear, actionable product specifications.
• Lead requirements gathering, process mapping, and gap analysis for core insurance workflows including: Fraud/Waste/Abuse (FWA) detection, Claim automation, New Business submission, Underwriting, Customer Experience, and Digital Transformation initiatives.
• Analyze and document end-to-end business processes for claim adjudication, policy servicing, and underwriting — identifying opportunities for automation and AI-powered enhancements.
• Collaborate with international stakeholders across multiple time zones to elicit, validate, and prioritize requirements — ensuring alignment between partner expectations and Papaya’s product roadmap.
• Produce high-quality deliverables: Business Requirements Documents (BRD), Functional Specifications, user stories, process flow diagrams, data mapping documents, and acceptance criteria.
• Work closely with engineering and UX/UI teams to ensure requirements are feasible, well-understood, and delivered to specification — participating in sprint planning, grooming, and review sessions.
• Support the design and configuration of FWA rules engines, claim automation workflows, and underwriting decision models by providing domain expertise and business logic documentation.
• Conduct competitive analysis and market research on insurance technology trends, regulatory requirements, and best practices across international markets.
• Facilitate UAT (User Acceptance Testing) with insurance partners, managing defect triage and ensuring delivered solutions meet business objectives.
• Contribute to building Papaya’s insurance domain knowledge base — documenting industry terminologies, regulatory nuances, and partner-specific configurations across markets.

• Competitive salary based on experience and capability.
• Performance-based bonuses and annual salary review.
• Participate in the well-being activities of the company: birthday, team building, general health check-up, etc.
• Work in a young and active environment in a fast-growing insurtech startup.
• Opportunities to work with top leadership and expand networks in insurance.
• Direct exposure to international insurance markets and global partners from day one.
• Unique opportunity to shape insurance products powered by cutting-edge GenAI technology.

• 1–3 years of experience as a Business Analyst, preferably in insurance, insurtech, or financial services. Fresh graduates with strong analytical skills and genuine interest in insurance will also be considered.
• Bachelor’s degree in Business Administration, Finance, Insurance, Information Systems, or a related field.
• Solid understanding of insurance domain fundamentals: policy lifecycle, claim processing, underwriting principles, reinsurance concepts, and regulatory frameworks.
• Experience working with or strong interest in FWA detection, claim automation, and digital transformation projects in insurance.
• Proficiency in requirements documentation: BRDs, functional specs, user stories, process flows (using tools like Jira, Confluence, Miro, Lucidchart, or similar).
• Strong analytical and problem-solving skills — ability to decompose complex insurance processes into structured, implementable components.
• Excellent communication skills in English (verbal and written) — comfortable presenting to and negotiating with international stakeholders and C-level executives.
• Experience with Agile/Scrum methodologies and cross-functional team collaboration.
• Familiarity with data analysis tools (Excel/Google Sheets advanced functions, SQL basics) is a plus.
• Understanding of API integrations, system architecture concepts, and how technology enables insurance operations is a strong advantage.
• Can-do attitude, attention to detail, and comfort with ambiguity in a fast-paced startup environment.
• Proactive in work, eager to learn, with strong self-study and high-level technology research capabilities, especially in AI applications for insurance.
• Willingness to work across time zones when collaborating with international partners.