WNS, part of Capgemini, is an Agentic AI-powered leader in intelligent operations and transformation, serving more than 700 clients across 10 industries, including Banking and Financial Services, Healthcare, Insurance, Shipping and Logistics, and Travel and Hospitality. We bring together deep domain excellence – WNS’ core differentiator – with AI-powered platforms and analytics to help businesses innovate, scale, adapt and build resilience in a world defined by disruption.Our purpose is clear: to enable lasting business value by designing intelligent, human-led solutions that deliver sustainable outcomes and a differentiated impact. With three global headquarters across four continents, operations in 13 countries, 65 delivery centers and more than 66,000 employees, WNS combines scale, expertise and execution to create meaningful, measurable impact.

We are seeking an Actuarial Analyst to join the Commercial Long tail Lines team, focusing on Cyber Insurance pricing.

The role offers exposure to pricing, portfolio analytics, and data-driven decision-making

Location: Gurgaon

Experience: 2+ years

Key Responsibilities

• Perform portfolio analytics including loss ratio monitoring, premium trends, and emerging performance patterns.
• Maintain, update, and improve rating tools, ensuring robustness, accuracy, and governance of pricing logic.
• Develop interactive dashboards and visual reports to clearly communicate insights to stakeholders.
• Contribute to industry studies and benchmarking analysis to understand market positioning.
• Enhance data quality across the portfolio by identifying anomalies, gaps, and inconsistencies, and implementing effective data cleaning and standardization solutions.
• Perform robust data validation and reconciliation to ensure data used in pricing models and reporting is accurate, reliable, and fit for purpose.
• Explore external datasets and market trends to enhance pricing insights and contribute to industry studies and benchmarking analysis.
• Leverage AI models and advanced analytical tools to improve efficiency, automate processes, and strengthen insights

Core Technical Requirements

• 2+ years of experience in Life/General Insurance.
• Demonstrated good progress in actuarial exams with CM1 cleared (mandatory)
• Experience working with large and complex datasets, including data validation and interpretation
• Strong analytical thinking and problem-solving capabilities.
• High attention to detail with ability to translate data into meaningful insights
• Advanced Ms- Excel expertise. Preferrable - proficiency in SQL, Python, Power BI'

Graduate or above