Senior Actuarial Analyst and Python Developer

Senior Analyst - Actuarial (Python Developer) (Shifts 4pm to 1am ) - Remote Company Description 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 Description Techincal Skills: Hands on Experience on Alteryx,DBT tool,SQL querying,Python,AWS,GGY AXIS etc- Responsible for end to end Data transformation.should have Advanced knowledge/experience in SQL,PYTHON,DBT.Ability to work in MS office toolsProcess Related: Having Good knoweldge in life Insurance.Understanding/Exposure the creation of Inforce files , reserve reporting and IFRS.Support complex projects and developments from data transformation.To achieve all the key Performance Indicators as set by the Team manager- To function as per ISO 9001: 2000 procedures- To be willing to work in US shifts (4PM to 1AM)- Adhere to reasonable operational requests from the management-To attend all meetings and trainings as per requirements- Developmet/Analytical skill: Should possess the ability to think out of the box – contingency management.Good decision-making skills.Good Analytical skills & Communication skillsClient Interaction - Work on multiple tasks which requires Co-ordination with multiple onshore SME's, completion of tasks allocated as per SME's expectation.Need to communicate with client for business requirements,understanding and build code/analysis/test.Ability to have conversations with the client teams, related to the process is essential.. Ability to have robust conversations while maintaining a high level of customer service and maintaining composureLearningAdditional Information - Min 2+ year experience in the Life Insurance.Soft skills: Strong communication skills – Verbal & Written. Ability to work through stringent timelines. Proficient in MS Office Suite, high level of understanding of VBA/ Ability to utilize effective listening skills.Learning should be continuous on the tools available for data transformation (on-prem/Cloud) Qualifications Qualification -Graduate/Master in any stream (computer science/Actuarial science is preferred) Experience Level Senior Level