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AML/TF Model Validation Consultant

Posted 1 day ago by ISite Technologies Inc

Job Role: AML/TF Model Validation Consultant

Experience: 10 Years

location: Remote

Visa: Any

Job Description

  • At least five years of experience in sanctions compliance, OFAC screening, financial-crime analytics, or model validation.
  • Demonstrated experience independently validating sanctions-screening or name-matching systems.
  • Strong knowledge of OFAC requirements and U.S. banking regulatory expectations.
  • Experience evaluating matching algorithms, thresholds, data quality, list ingestion, configuration, false positives, and false negatives.
  • Strong analytical, technical-writing, and stakeholder-management skills.
  • Availability for the full engagement period.

Critical experience requirement

  • Candidates should have direct, hands-on experience with WatchDOG-to-LexisNexis migrations or with validating both platforms in a comparable migration context.
  • Candidates should understand:
  • WatchDOG and LexisNexis configurations and data requirements
  • Differences in matching logic, scoring, and alert generation
  • Legacy-to-target regression testing
  • Migration reconciliation and discrepancy analysis
  • Definition of acceptable versus unexplained system differences
  • Testing of names, aliases, identifiers, thresholds, and sanctions-list updates
  • Candidates without meaningful WatchDOG and LexisNexis experience are unlikely to be suitable unless they bring directly comparable sanctions-platform migration and validation expertise.

Nice-to-have qualifications

  • Experience with Palantir-based transaction-monitoring models.
  • Familiarity with transaction-monitoring scenario validation, ATL and BTL testing, threshold sensitivity, and implementation verification.
  • Experience supporting concurrent transaction-monitoring and sanctions-model validations.
  • Experience working with fintech-focused or banking-as-a-service institutions.
Rate:
Not specified
Location:
Remote
IR35 Status:
Outside
Remote Status:
Remote
Industry:
Data & Analytics
Seniority Level:
Senior

Take-Home Pay

Not Available

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