19 of 19 Remote Anti-Money Laundering Jobs in the UK excluding London

for this role: Bachelor's or Master's degree (or equivalent higher education) in Information Technology, Data Engineering, or a related field. Proven experience working with Fenergo or similar AML/KYC management software (minimum of 3 years). Experience in system configuration, customization, and integration of financial applications. Proficiency in SQL and data query languages to extract and manipulate More ❯

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 ❯

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 ❯

KYC, transaction monitoring, fraud, and investigations. What You Bring: Strong leadership experience in financial crime within regulated environmentsdigital banking, payments, lending, insurance, or gaming. Deep subject matter expertise in AML, CTF, sanctions, and fraud. High technical fluency; confident working with engineers, data scientists, and product owners. Experience delivering transformation or operating model change in risk or compliance. Gravitas to influence More ❯

transaction monitoring, fraud, and investigations. What You Bring: Strong leadership experience in financial crime within regulated environments—digital banking, payments, lending, insurance, or gaming. Deep subject matter expertise in AML, CTF, sanctions, and fraud. High technical fluency; confident working with engineers, data scientists, and product owners. Experience delivering transformation or operating model change in risk or compliance. Gravitas to influence More ❯

transaction monitoring, fraud, and investigations. What You Bring: Strong leadership experience in financial crime within regulated environments-digital banking, payments, lending, insurance, or gaming. Deep subject matter expertise in AML, CTF, sanctions, and fraud. High technical fluency; confident working with engineers, data scientists, and product owners. Experience delivering transformation or operating model change in risk or compliance. Gravitas to influence More ❯

very technical PM role, comfortable discussing architecture, APIs, and scalability. Proven experience managing KYC, onboarding or similar regulated web application products (fintech, trading platforms, digital banks, e-commerce with AML requirements). Skilled at integrating 3rd-party compliance or identity platforms (Onfido, Alloy, Trulioo, etc). Excellent understanding of building user journeys to maximise conversion and reduce drop-offs. Familiar More ❯

setting Proficiency in Microsoft Office, particularly Excel Strong analytical skills with an ability to spot patterns and anomalies Working knowledge of Visa and MasterCard chargeback regulations Good understanding of AML controls and ongoing merchant monitoring Excellent communication skills, both written and verbal High attention to detail, well organised and diligent Self-motivated, reliable, and able to work both independently and More ❯

setting Proficiency in Microsoft Office, particularly Excel Strong analytical skills with an ability to spot patterns and anomalies Working knowledge of Visa and MasterCard chargeback regulations Good understanding of AML controls and ongoing merchant monitoring Excellent communication skills, both written and verbal High attention to detail, well organised and diligent Self-motivated, reliable, and able to work both independently and More ❯

Your New Role Key responsibilities include, but are not limited to: Compliance Focus. Assist the Legal & Compliance Manager with all parts of the wider role including policies & procedure, complaints, AML & auditing. Collaborate with L&C Manager to ensure the CRM system and related processes adhere to relevant regulations and internal policies. Conduct audits to identify potential compliance gaps and implement 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 ❯

the solution better and sales teams navigate internal processes Collaborate with Product Owners to feedback market intelligence and client needs to shape future proposition development. Qualifications Experience in KYB, AML, or Financial Crime consulting, gained in a pre-sales or client-facing role. Strong understanding of business verification, beneficial ownership, and risk profiling in regulated industries. Proven ability to work More ❯

backend development experience, with exposure to Blazor, React, or similar frameworks a plus. Hands-on experience with Azure services (Kubernetes, Event Grid, Service Bus, Functions, SQL, Data Factory, Databricks, AML). Experience building high-throughput, high-availability, multi-tenant solutions. Excellent communication and collaboration skills, with the ability to inspire and mentor a hybrid development team. Customer-facing experience and 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 ❯

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 ❯

Stack Engineer Salary: £80,000-£90,000 + Equity WFH: Fully Remote Overview Our client is a fast-growing RegTech startup using AI to transform how financial institutions approach AML and compliance workflows. They're hiring Full Stack Engineers to join a compact, fast-moving team working on two flagship products-an intelligent API for AML decision-making and an More ❯

KYC workflows Help monitor changes in regulatory requirements and feed into internal policy updates What You'll Need: 1-3 years of experience in a CDD/KYC/AML role, ideally in fintech, payments, or challenger banks Working knowledge of UK AML frameworks, sanctions regimes, and FCA expectations Confident handling onboarding for both individual and corporate clients Experience using More ❯

development of software and data products that help governments and organisations combat serious financial crime. Our technology is used to identify criminal activity such as money laundering and terrorist financing, and enables organisations to enforce sanctions at scale to help combat rogue entities and state actors. Team Mission Ripjar's Engineering team builds software products that … leading data security model. Global financial institutions, corporations and big tech companies rely on our Labyrinth Screening product to monitor millions of client records, counterparties and prospects for sanctions, AML/CTF and other risks against billions of data points in near-real time. Ripjar's unique approach to name and adverse media screening - using AI Risk Profiles - provides our More ❯

development of software and data products that help governments and organisations combat serious financial crime. Our technology is used to identify criminal activity such as money laundering and terrorist financing, and enables organisations to enforce sanctions at scale to help combat rogue entities and state actors. Team Mission Ripjar's Engineering team builds software products that … leading data security model. Global financial institutions, corporations and big tech companies rely on our Labyrinth Screening product to monitor millions of client records, counterparties and prospects for sanctions, AML/CTF and other risks against billions of data points in near-real time. Ripjar's unique approach to name and adverse media screening - using AI Risk Profiles - provides our More ❯