Anti-Money Laundering Analyst

Senior Data analyst or Data Modeler with recent experience (at least 3 yrs) as a Data Analyst is mandatory. Preferably in AML/Fraud areas in Financial domain.
The candidate must have expertise in the below areas
Modeling/STTM for relatively large data bases using data modeling tools like Erwin/Hackolade etc.,
Data Governance: Expertise in setting up Data Governance. Establishing Data Quality rules and Data controls on DB’s and Data Pipelines. Experience with Data Governance/Quality tools like Collibra.
Data Validations, Root Cause analysis and data reconciliation between Source and target and/or current and future states.
Must be able to work with Business very effectively with great communication and documentation skills. Should be great team player.
Must have experience working with AI tools effectively and independently

Work arrangement
No