Data Engineer - Financial Crime & Data Governance (AML/KYC/PEP/Sanction)
Posted 1 day ago by GIOS Technology
£56 Per hour
Undetermined
Hybrid
London Area, United Kingdom
Summary: The Data Engineer role focuses on Financial Crime and Data Governance, specifically in areas such as AML, KYC, PEP, and Sanctions. The position requires expertise in data lineage analysis and data governance frameworks, along with strong SQL skills for data integration. The role is based in London with a hybrid working arrangement, requiring two days in the office each week. Candidates should possess strong analytical and stakeholder management skills to interpret regulatory requirements into technical solutions.
Key Responsibilities:
- Conduct data lineage analysis and Critical Data Element (CDE) tracing across enterprise systems.
- Apply domain expertise in Financial Crime areas including KYC, AML, PEP, and Sanctions screening.
- Ensure compliance with data governance, data quality management, and regulatory frameworks.
- Utilize advanced SQL skills to handle and integrate data from diverse sources.
- Participate in data migration, remediation, or regulatory transformation programmes.
- Demonstrate strong analytical, problem-solving, and stakeholder management capabilities.
- Interpret regulatory and EDD requirements to develop technical data logic and reporting solutions.
Key Skills:
- Financial Crime
- Data governance
- AML
- KYC
- Sanctions
- Banking
- Regulatory compliance
Salary (Rate): £56.00/hr
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
I am hiring for Data Engineer - Financial Crime & Data Governance (AML/KYC/PEP/Sanction) Location: London - Hybrid / 2 days Per week in Office Proven experience in data lineage analysis and Critical Data Element (CDE) tracing across enterprise systems. Strong domain expertise in Financial Crime areas such as KYC, AML, PEP, and Sanctions screening. Solid understanding of data governance, data quality management, and regulatory compliance frameworks. Advanced SQL skills with experience handling and integrating data from diverse sources. Experience working on data migration, remediation, or regulatory transformation programmes. Strong analytical, problem-solving, and stakeholder management capabilities. Ability to interpret regulatory and EDD requirements and convert them into technical data logic and reporting solutions. Key Skills: Financial Crime / Data governance / AML / KYC / Sanctions / Banking / Regulatory compliance