Posting record
Open 7 days
- Wnsglobalservices' site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
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Last checked Nov 4, 2026.
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Not stated: Pay, real vacancy, AI screening.
Why these three
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Skills mentioned
About the role
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
trong domain knowledge of Retail and Commercial Banks, Capital Markets including Investment Banking, Private Equity, and FintechsUnderstanding and experience in implementing advanced analytics solutions with respect to transformation and strategic pursuits especially in Financial Crime including KYC AML, Credit Risk and Underwriting, Collection Analytics, Model Risk Management and Customer AnalyticsUnderstanding of Regulatory reporting such as Basel II III and CCARExpertise in understanding clients requirements and converting them into a problem statement with a desired value driven solution constructCollaborate with cross functional teams including data scientists, business analysts, and IT professionals to design and deploy analytical solutions that address key business challengesUnderstanding and expertise in the area of data modernization, data advisory and governance and end to end Data Lake solutions such as ETL and EDW with respect to the BFS domainKnowledge of the latest tools and technologies used in the BFS business globallyModerate understanding of statistical conceptsShould be able to handle and own the entire deal lifecycle for any pursuit
Qualifications
BE, MBA, BCom, BSc
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