- Strong knowledge of AML or fraud analytics with at least 5-7 years of relevant experience in financial crime analytics or Anti-Money Laundering domain; additional exposure to customer segmentation and threshold analysis.
- Strong exposure to industry standard vendor tools for AML such as Mantas, Actimize-SAM, Trade Surveillance, SAS AML, Norkom
- Should have worked extensively on Python and SQL; additional exposure to SAS is preferred.
- Hands-on experience in data mining/analytics and familiarity with the FCC/AML Regulatory environment (including AML/KYC regulations)
- Implementing various scenarios /rules using any of the AML Vendor tools stated above.
- Validation of the rules using standard validation process.
- Implementation of customer segmentation and threshold analysis for banks
Didn’t find the job appropriate? Report this Job