14 of 14 Permanent Mule Jobs in England

best practices. Engage with client stakeholders to clarify integration needs, review technical approaches, and provide implementation insights. Translate business and functional requirements into Mule applications, RAML specifications, and error-handling frameworks. Participate in client workshops, demonstrations, and technical walkthroughs as part of agile delivery teams. Contribute to automated testing practices ...

developers working with integration technologies such as MuleSoft, Boomi, Camel, and Workato. Translate business and integration needs into solution designs, RAML specifications, and Mule flows, selecting appropriate connectors and ensuring robust error-handling and security. Support architects by developing blueprints and detailed technical specifications for integration solutions. Ensure all integration ...

with Git and CI/CD, experience with Mulesoft is essential. Anypoint Studio, Anypoint Exchange, API Manager, Runtime Manager. Experienced in developing integrations using Mule 4 (flows, connectors, components), building and consuming APIs, handling JSON and XML payloads We Care About Our Employees' Happiness By providing: Pension Scheme - contributions matched ...

clear to technical and non‐technical stakeholders. The tools helping us shape what’s next: Salesforce | Configuration, Lightning, Flow, security, data and APIs. MuleSoft | Mule 4, API‐led integration, contracts, mappings and monitoring. Test Automation | Copado Robotic Testing, reusable tests and CI/CD quality gates. Data Assurance | SQL, reconciliation ...

including tokenization and anonymization. Familiarity with enterprise architecture frameworks such as TOGAF. Experience in payments, fraud prevention, financial crime, transaction monitoring, scam prevention, money mule detection or real-time risk decisioning solutions. Experience working with customers, financial institutions and technology partners on solution design and implementation. Practical experience with ...

protection approaches including tokenization and anonymization.Familiarity with enterprise architecture frameworks such as TOGAF.Experience in payments, fraud prevention, financial crime, transaction monitoring, scam prevention, money mule detection or real-time risk decisioning solutions.Experience working with customers, financial institutions and technology partners on solution design and implementation.Practical experience with AWS or equivalent ...

approaches including tokenization and anonymization. Familiarity with enterprise architecture frameworks such as TOGAF.Experience in payments, fraud prevention, financial crime, transaction monitoring, scam prevention, money mule detection or real-time risk decisioning solutions. Experience working with customers, financial institutions and technology partners on solution design and implementation. Practical experience with ...

resolution, case management, and regulatory reporting to credibly engage compliance and risk stakeholders. Translate complex regulatory requirements and financial crime trends (e.g., sanctions evasion, mule accounts, digital assets, AI-driven financial crime, beneficial ownership transparency) into clear business value propositions. Serve as a trusted advisor to prospects and customers, speaking ...

Senior Fraud Strategy Analyst to join the Economic Crime PROTECT team. You will design and optimise fraud controls across card, non-card and mule typologies, translating data into clear strategies that balance risk and customer experience. You’ll apply SAS and SQL to investigate trends, develop data-driven rules ...

Senior Fraud Strategy Analyst to join the Economic Crime PROTECT team. You will design and optimise fraud controls across card, non-card and mule typologies, translating data into clear strategies that balance risk and customer experience. You’ll apply SAS and SQL to investigate trends, develop data-driven rules ...

Senior Fraud Strategy Analyst to join the Economic Crime PROTECT team. You will design and optimise fraud controls across card, non-card and mule typologies, translating data into clear strategies that balance risk and customer experience. You’ll apply SAS and SQL to investigate trends, develop data-driven rules ...

fraud analytics, SAS and SQL to design, build and optimise fraud controls across a range of fraud typologies, including card, non-card, application and mule fraud. You'll be responsible for translating data and analytical findings into clear, effective fraud strategies, creating long-term solutions that help prevent fraud … change. As a minimum, you will have: Proven experience developing and implementing fraud prevention strategies across multiple fraud typologies, including application fraud, card fraud, mule activity and broader financial crime risks Demonstrable experience creating and enhancing automated fraud controls using multiple data sources, including developing data-driven solutions to detect ...

fraud analytics, SAS and SQL to design, build and optimise fraud controls across a range of fraud typologies, including card, non-card, application and mule fraud. You'll be responsible for translating data and analytical findings into clear, effective fraud strategies, creating long-term solutions that help prevent fraud … change. As a minimum, you will have: Proven experience developing and implementing fraud prevention strategies across multiple fraud typologies, including application fraud, card fraud, mule activity and broader financial crime risks Demonstrable experience creating and enhancing automated fraud controls using multiple data sources, including developing data-driven solutions to detect ...

fraud analytics, SAS and SQL to design, build and optimise fraud controls across a range of fraud typologies, including card, non-card, application and mule fraud. You'll be responsible for translating data and analytical findings into clear, effective fraud strategies, creating long-term solutions that help prevent fraud … change. As a minimum, you will have: Proven experience developing and implementing fraud prevention strategies across multiple fraud typologies, including application fraud, card fraud, mule activity and broader financial crime risks Demonstrable experience creating and enhancing automated fraud controls using multiple data sources, including developing data-driven solutions to detect ...