WG
WNS Global Services
Data Scientist

Deputy Manager - Actuarial ( Gurgaon ) WFO UK Life Insurance - Data Scientist

On-siteSeniorData ScientistJust posted
Role summaryAI-generated

This hybrid role blends technical actuarial data science with team leadership, requiring expertise in Solvency II compliance, economic capital modeling, and stress testing while mentoring a small team. The candidate must balance quantitative analysis of actuarial models with process optimization and client-facing reporting to meet regulatory and business priorities.

Skills required

About this role

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)

Qualifications

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

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