Deputy Manager - Actuarial (Immediate Joiner) Remote

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. Job Summary: We are seeking a highly analytical and technically proficient Deputy Manager – Actuarial with experience in the Life and Annuity insurance domain. The ideal candidate should possess a strong actuarial foundation combined with hands-on programming and data analysis skills to support actuarial modeling, valuation, pricing, reporting, and automation initiatives. Key Responsibilities: Support actuarial valuation, pricing, product development, and financial reporting activities for Life and Annuity products. Analyze, validate, and transform large volumes of actuarial and policy data. Develop and maintain data processing, automation, and reporting solutions using Python, R, SQL, and VBA. Work closely with actuarial, technology, and business teams to implement and enhance actuarial models and processes. Perform data quality checks, reconciliations, and analytical reviews to ensure accuracy and completeness. Assist in model validation, testing, documentation, and process improvements. Prepare actuarial reports, management information, and regulatory deliverables as required. Contribute to continuous process improvement through automation and best practices. Required Skills & Competencies: Strong understanding of Life Insurance and Annuity products and actuarial concepts. Hands-on experience in data manipulation and analysis using:o Python/R/SQL/VBA Strong analytical, problem-solving, and quantitative skills. Ability to work with large datasets and build automated solutions. Good communication and stakeholder management skills. Ability to work independently as well as collaboratively in a team environment. Preferred Skills: Experience working with MG-ALFA (Milliman MG-ALFA) actuarial modeling software will be a strong advantage. Exposure to actuarial valuation systems, financial reporting, or modeling platforms Familiarity with insurance regulatory and reporting requirements. Experience: 4–8 years of relevant experience in the Life Insurance and Annuity domain. Educational Qualification: Bachelor's degree in Mathematics, Statistics, Actuarial Science, or an equivalent quantitative discipline. Candidates must have successfully completed a minimum of two actuarial examinations from a recognized actuarial body such as the Institute of Actuaries of India (IAI), Society of Actuaries (SOA),Institute and Faculty of Actuaries (IFoA), or an equivalent international actuarial institute.