lifecycle management. Financial Domain Knowledge: Direct experience with at least two of the following domains: Credit Risk Modeling, Fraud Detection, Anti-MoneyLaundering (AML), Know Your Customer (KYC), Algorithmic Trading, Customer Lifetime Value (CLV), or Marketing Optimization. Model Risk Management (MRM): Solid understanding of model validation, bias/fairness testing, explainable AI (XAI) techniques More ❯
A proven track record in designing and implementing Target Operating Models (TOMs). Experience with end-to-end client onboarding processes in financial services, including compliance with KYC and AML regulations. Strong analytical and data interpretation skills, with the ability to communicate complex information clearly. A collaborative mindset and the ability to engage cross-functional teams to support change delivery. More ❯
agreed timeframe Must self-manage day-to-day and all assigned tasks Provide ad hoc support to programme/project manager Knowledge, Skills & Experience: Demonstrated knowledge of Anti-MoneyLaundering, and particularly AML monitoring Systems. Preferably, Actimize SAM. A good understanding of core Bank products such as Trade Finance, Loans and SWIFT payments. Experience More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Adecco
agreed timeframe Must self-manage day-to-day and all assigned tasks Provide ad hoc support to programme/project manager Knowledge, Skills & Experience: Demonstrated knowledge of Anti-MoneyLaundering, and particularly AML monitoring Systems. Preferably, Actimize SAM. A good understanding of core Bank products such as Trade Finance, Loans and SWIFT payments. Experience More ❯
and screening logic within the system. The skills you'll need: Proven experience with LexisNexis Bridger Insight. Strong understanding of Sanctions and PEP screening processes. Background in Financial Crime, AML, or Compliance projects. Ability to manage screening engines, workflows, and user configurations. Comfortable running jobs, handling data files, and producing reports specific to Bridger functionality. Next steps We have a More ❯
and screening logic within the system. The skills you'll need: Proven experience with LexisNexis Bridger Insight. Strong understanding of Sanctions and PEP screening processes. Background in Financial Crime, AML, or Compliance projects. Ability to manage screening engines, workflows, and user configurations. Comfortable running jobs, handling data files, and producing reports specific to Bridger functionality. Next steps We have a More ❯
a real impact from day one. The Role As a Data Quality Analyst, you will play a pivotal role in ensuring the accuracy, completeness, and integrity of data across AML and Sanctions screening platforms. You will work closely with Financial Crime, Data Governance, Technology, and Risk teams to design and embed effective data quality controls, strengthen governance, and support regulatory … offers the chance to directly contribute to critical transformation programmes within financial crime compliance. Key Responsibilities Design, build, and monitor Data Quality Rules within Collibra Data Quality (CDQ) for AML and Sanctions datasets. Define and implement controls for key data elements (e.g. customer details, SWIFT/BIC, account data). Validate data ingestion for AML/sanctions screening platforms, ensuring … Data Quality, Data Governance, or Data Management within banking or financial crime compliance. Hands-on expertise in Collibra Data Quality (CDQ), including rule building and monitoring. Strong knowledge of AML, Sanctions, and KYC processes and relevant regulatory frameworks. Technical proficiency in SQL for data validation and remediation. Experience with AML/Sanctions platforms such as Actimize SAM or Fircosoft. Understanding More ❯
