
Gurugram · Hybrid
Analyst, Domain Analytics, Claims & Underwriting 5B
Full-timePosted
- Salary
- Not disclosed
- Experience
- 0–1 years
- Eligible batches
- 2024 · 2025 · 2026
- Degree
- Bachelor's
- Location
- GurugramHybrid
- Apply by
- 12 Jan 2027
About the role
Genpact is looking for an Analyst in Domain Analytics focused on Claims and Underwriting. The role blends data preparation, modelling and insight generation to support risk‑management decisions for insurance clients. You will work in a hybrid setting, collaborating with underwriters and data engineers while leveraging AI‑enabled tools.
Responsibilities
- Clean and transform exposure data from client Excel sheets into proprietary formats such as AIR and RMS.
- Model data, publish analytical results and create exposure summaries for underwriters.
- Review submissions for completeness, follow up on missing information, and validate data imports.
- Geo‑code locations, analyse exposure patterns and interpret insurance layer structures.
- Generate actionable insights that improve risk‑management and underwriting decisions.
Eligibility
- Bachelor’s degree in Business Analytics, Computer Science or Statistics.
- Relevant certifications such as Associate in Claims (AIC) or Chartered Property Casualty Underwriter (CPCU) are a plus.
- Strong command of English.
Skills
- Alteryx, Python, SQL, Tableau, Microsoft Excel and Power BI.
- SAP BO Data Services, Talend, SnapLogic and predictive modelling techniques.
- Understanding of property & casualty insurance, reinsurance and underwriting risk.
Resume keywords
- Alteryx
- Python
- SQL
- Tableau
- Microsoft Excel
- Power BI
- SAP bo data services
- Talend
- Snaplogic
- Predictive modeling
Benefits
- Opportunity to work on AI‑driven transformation projects for global enterprises.
- Mentorship, learning programs and fast‑track career growth within a 140,000‑strong tech community.
- Inclusive, values‑driven culture that encourages curiosity and innovation.
You'll apply on genpact.wd108.myworkdayjobs.com
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About Genpact
Runs and modernises finance, customer care and supply chain operations for large companies worldwide, and builds data, AI and digital technology for them.
Founded 1997 · 5000+ employees · HQ New York, New York, United States
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