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.

People Related: Lead a small team to ensure team SLA’s are met Carry out training for new hires on the systems and processes Work with manager to estimate work volume and supports on resource planning Guide and support team members for development of domain expertise Carry our periodic performance review and development discussion, provide and record feedbacks on continuous basis Process Related: Responsible for managing Team’s SLA performance Client expectation and priorities Audit support Undertake and lead data, basis, results and balance sheet production for IFRS, Economic Capital, Asset Share & New Business Reporting Actuarial model result analysis including validation, analysis of change, economic and non- economic Stresses, Sensitivities, Critical Scenario, Back-testing etc. Base and stressed balance sheet and P&L account production on solvency II requirement (both IM & SF) SCR calculation and validation using solvency model NB reporting and analysis such as VNB, APE, NBS, profit driver analysis etc. Asset model results production, Stress analysis, ALM, Equity Release valuation Strong understanding of Prophet, DCS etc. Regression testing – change request, testing, impact analysis etc. Lead complex projects and developments, do project planning, dashboard, communication etc. Ability to think creatively to generate solutions to tough problemsKey Requirements:ALS modelling requirement orActuarial SME with Data science background (VBA/ R/ Python)

EducationGraduation with Actuarial exams.ExperienceAt least 4 years of Actuarial experience