This is a hands‑on, highly collaborative role ideal for someone who thrives in complex data environments, understands financial‑services risk domains, and enjoys mentoring others.
-
Own attribution mapping for data elements from source systems to Fraud, AML, and other downstream marts within the Data Supply Chain (DSC)
-
Translate business requirements into detailed mapping documents; develop and unit‑test datasets using maintainable, reusable code
-
Conduct peer code reviews and contribute to continuous improvement initiatives
-
Mentor and train junior business and data analysts
-
Evaluate new and emerging data solutions, providing design guidance and technical recommendations
-
Contribute to technical documentation, specifications, and project artifacts
-
Ensure adherence to data standards and help extend best practices across the Fraud/AML squad
-
Provide input into data models and ERDs; use these artifacts to write efficient SQL
-
Create and enhance context diagrams to support auditability
-
Define business rules, transformation logic, derived expressions, SQL, and other components required for mapping documentation
-
Participate in Mapping Review Sessions and Data Architecture Review Sessions
-
Support portfolio planning, prioritization, and remediation activities
-
Apply strong knowledge of risk management practices within financial institutions or financial data environments