4 of 4 Remote Anti-Money Laundering Jobs in the North West

designed to transform financial operations for our clients. Our team's expertise spans across several focus areas from risk based decisioning & analytics, credit risk, financial crime and KYC/AML to data privacy, governance and the many applications of GenAI within financial services. At Capgemini Invent, our strong partnerships with our clients and partners allows us to harness the power More ❯

around the world, as they accelerate the digitalisation of their customer and supply-chain. About the role We are looking for a Senior Client Due Diligence Analyst with good AML/CTF and Sanctions knowledge to assist Analysts with escalations, complex cases and process reviews. The successful candidate will assist the Head of Compliance in identifying risks and suggesting improvements … team in more complex and/or suspicious cases Engage with key stakeholders and work cooperatively to present, create, develop and/or implement suggestions and recommendations regarding best AML practices, policies and procedures Continuously work on improvements focusing on enhancing efficiency and effectiveness of existing process flows Provide regular reports and updates to senior management on onboarding, ongoing review … KPIs against company targets Work with international customers from various jurisdictions Be part of a group of highly skilled employees all dedicated to preventing financial crime Contribute to building AML/CTF compliance culture Potential to take on line management duties as the team expands and the function develops depending on team growth and business needs. Skills & knowledge required More ❯

digital commerce, payments, or financial systems in SaaS, fintech, or marketplace environments. Demonstrable expertise with Stripe or similar payment gateways. Deep understanding of EU financial compliance including VAT, PSD2, AML, and PSP licensing. Proven success leading large-scale B2B financial product initiatives. Technical fluency in API-first architecture, and ideally exposure to AI/ML tools for predictive finance, fraud More ❯

teams Contribute to the development of end-to-end machine learning workflows and help embed models into production systems Analyse transaction and behavioural data to identify trends, anomalies, and AML patterns Industry experience in data science or machine learning models, ideally in AML, financial crime, or a related domain Experience working with large-scale, high-dimensional, and heavily imbalanced datasets More ❯