1 to 25 of 36 Remote Fraud Detection Jobs in England

exciting projects coming up and we've got big growth plans. Want to join us? About the role. We are seeking a highly experiencedFraud Operations Directorto lead Zilch's Fraud, KYC, and Chargeback operations. This role is accountable for the company-wide execution of Zilch's fraud risk framework-as designed by the Credit Risk, Fraud and … Collections Strategy team-delivering operational resilience, customer protection, and measurable performance improvements at scale. The Fraud Operations Director will oversee multi-layered internal teams and external BPO providers, providinginspirational leadership, mentoring, and managementacross fraud detection, KYC, and chargebacks functions. They will partner closely with senior stakeholders across Product, Engineering, Risk, Compliance, Legal, and Operations to embed fraud … and customer experience. This is a high-visibility, executive-facing role that combines strategic influence with operational excellence. The successful candidate will be a seasoned operations leader with deep fraud expertise and a refined leadership skillset with a proven ability to navigate complex challenges across multiple domains. They will motivate and develop high-performing teams, deliver measurable improvements across More ❯

Senior Expert Fraud Data Analyst Location: Solihull Salary: £45k - £55K Contract Type: Permanent Working Pattern: Full-time/Hybrid (3 office days, 2 work-from-home, Monday - Friday) Note : Candidates MUST come from a Financial Services background. Are you a data-driven fraud specialist who thrives on spotting patterns, preventing risks, and staying one step ahead of criminals … We're looking for a Senior Fraud Data Analyst to take a lead role in shaping fraud strategy, implementing cutting-edge prevention techniques, and using your analytical skills to protect millions. This is more than just a reporting role - it's about designing and delivering tactical and strategic initiatives that reduce fraud losses, influence policy, and have … a real commercial impact. What You'll Do Own and evolve the fraud detection and prevention strategy for your assigned product line. Use tools like SAS, SQL, or Python to mine and model data, detect trends, and develop fraud rules. Design and implement tactical initiatives to combat emerging fraud types. Translate fraud insights into operational More ❯

Senior Expert Fraud Data Analyst Location: Solihull Salary: £45k - £55K Contract Type: Permanent Working Pattern: Full-time/Hybrid (3 office days, 2 work-from-home, Monday - Friday) Note : Candidates MUST come from a Financial Services background. Are you a data-driven fraud specialist who thrives on spotting patterns, preventing risks, and staying one step ahead of criminals … We're looking for a Senior Fraud Data Analyst to take a lead role in shaping fraud strategy, implementing cutting-edge prevention techniques, and using your analytical skills to protect millions. This is more than just a reporting role - it's about designing and delivering tactical and strategic initiatives that reduce fraud losses, influence policy, and have … a real commercial impact. What You'll Do Own and evolve the fraud detection and prevention strategy for your assigned product line. Use tools like SAS, SQL, or Python to mine and model data, detect trends, and develop fraud rules. Design and implement tactical initiatives to combat emerging fraud types. Translate fraud insights into operational More ❯

strategy, and providing direction, leadership and subject matter expertise. As part of the Product Conformance Monitoring team within Payment Services, this role will be responsible for the development of Fraud detection capabilities and E2E operating model strategies for Citi Payments (corporate and institutional clients). The overall objective of this role is to develop the required capabilities to … ensure Citi is meeting its Fraud-related Regulatory obligations, internal policy requirements and to monitor our Clients' adherence to Risk appetite, in turn supporting the continued growth of the Payments organisation. What you'll do Serve as Business Owner of the Business Fraud Monitoring program Define and executing Citi Payments fraud detection strategy Provide authoritative subject … matter expertise on wholesale payment fraud typologies Drive the end-to-end design of the fraud detection services, encompassing data ingestion, rule engine logic, machine learning models, alert generation, case management, and integration points with existing Citi platforms and external systems. Lead and influence cross-functional teams across Technology, Operations, Product, Legal, Compliance, and other Risk functions More ❯

This newly created role represents a fantastic opportunity for an experienced systems-based Financial Crime Analyst to make a real impact in strengthening the first line of defence against fraud and financial crime within a FTSE 500 financial services provider. The role will play a pivotal part in enhancing detection, prevention, and reporting capabilities across multiple Financial Crime … with analytical insight to help identify emerging threats, optimise system performance, and ensure controls remain robust, efficient, and compliant. Key Responsibilities Lead and support the development and optimisation of fraud detection and prevention strategies across all Financial Crime systems. Interrogate and analyse large and complex data sets using advanced SQL and data management tools to uncover patterns, trends … and anomalies. Develop, track, and report on key fraud metrics, presenting findings and recommendations to senior stakeholders. Design and implement data models and machine learning scoring models to drive predictive insights and enhance fraud detection accuracy. Optimise and fine-tune Financial Crime system rule sets in line with risk appetite, balancing risk mitigation with operational efficiency. Collaborate More ❯

you to join our success story! As our Technical Lead for the AWS Engineering team, you will be responsible for:- Leading the design, development, and deployment of a bespoke fraud detection and transaction monitoring system. Collaborating with a variety of stakeholders and financial crime experts globally to define a technical vision and strategy for the platform. Architecting scalable … in-house and third-party tools. Ensuring high code quality and engineering best practices through code reviews, mentoring, and technical guidance. Owning and evolving the technical design of core fraud detection components. Driving continuous improvement in team processes, tooling, and development workflows. Coaching and supporting engineers in their technical growth, fostering a culture of learning and continuous improvement. … and PySpark (data pipelines, APIs, automation) TypeScript and React (frontend development) Excellent communication and stakeholder management skills. Demonstrated expertise in technical design and architecture of distributed systems. Familiarity with fraud detection models, anomaly detection, and rule-based systems. Clear understanding of secure coding practices and data privacy principles. Exposure to CI/CD pipelines and infrastructure-as More ❯

you to join our success story! As our Technical Lead for the AWS Engineering team, you will be responsible for:- Leading the design, development, and deployment of a bespoke fraud detection and transaction monitoring system. Collaborating with a variety of stakeholders and financial crime experts globally to define a technical vision and strategy for the platform. Architecting scalable … in-house and third-party tools. Ensuring high code quality and engineering best practices through code reviews, mentoring, and technical guidance. Owning and evolving the technical design of core fraud detection components. Driving continuous improvement in team processes, tooling, and development workflows. Coaching and supporting engineers in their technical growth, fostering a culture of learning and continuous improvement. … and PySpark?(data pipelines, APIs, automation) TypeScript and React?(frontend development) Excellent communication and stakeholder management skills. Demonstrated expertise in technical design and architecture of distributed systems. Familiarity with fraud detection models, anomaly detection, and rule-based systems. Clear understanding of secure coding practices and data privacy principles. Exposure to CI/CD pipelines and infrastructure-as More ❯

Business Unit: COO, Fraud Analytics Salary range: £39,200 - £49,000 per annum DOE + Benefits Location: UK Hybrid - Leeds/Gosforth/Glasgow Contract Type: Permanent full-time Our Team You'll be joining the Application Fraud Analytics team, who are responsible for the application fraud strategies across all products. What this means in layman's … terms is that the team are responsible for preventing anyone who has had their identity stolen from becoming a victim of fraud at Virgin Money, protecting both customers, non-customers and the bank itself. Do you want to make a difference too? What you'll be doing Driving application fraud strategy for a specific area of the business … being a point of contact for stakeholders and providing SME input. Optimising and monitoring performance of fraud detection and prevention systems and associated models. Taking the lead for your area's fraud systems to manage fraud risk within appetite and budget. Completing analytics as directed to support the setting and on-going reporting and management of More ❯

ideally in the context of A2A payments or other financial transaction systems is a strong plus. Bring experience or gain knowledge to act as a subject matter expert in fraud detection, creditworthiness assessment, and optimising transaction approval rates using advanced DS/ML techniques is a strong plus. Experience Required skills Hands-on experience building and deploying ML … models in Python SQL skills and familiarity with AWS for deployment and data workflows. Strong knowledge of statistical modelling, anomaly detection, clustering, and supervised/unsupervised learning Experience working with large-scale data Proven success collaborating with product and engineering teams to ship ML-based features and tools Strong communication skills and business acumen to present complex technical ideas … of relevant experience, OR equivalent Nice to Have Demonstrated ability to design and validate features using transactional and behavioral data from financial services Proven track record in payment risk, fraud detection, or credit decisioning is strongly preferred Experience with model governance and monitoring in regulated environments Experience with cloud platforms (AWS, GCP, Azure), preferably AWS, ML tools such More ❯

ideally in the context of A2A payments or other financial transaction systems is a strong plus. Bring experience or gain knowledge to act as a subject matter expert in fraud detection, creditworthiness assessment, and optimising transaction approval rates using advanced DS/ML techniques is a strong plus. Experience Required skills Hands-on experience building and deploying ML … models in Python SQL skills and familiarity with AWS for deployment and data workflows. Strong knowledge of statistical modelling, anomaly detection, clustering, and supervised/unsupervised learning Experience working with large-scale data Proven success collaborating with product and engineering teams to ship ML-based features and tools Strong communication skills and business acumen to present complex technical ideas … of relevant experience, OR equivalent Nice to Have Demonstrated ability to design and validate features using transactional and behavioral data from financial services Proven track record in payment risk, fraud detection, or credit decisioning is strongly preferred Experience with model governance and monitoring in regulated environments Experience with cloud platforms (AWS, GCP, Azure), preferably AWS, ML tools such More ❯

ideally in the context of A2A payments or other financial transaction systems is a strong plus. Bring experience or gain knowledge to act as a subject matter expert in fraud detection, creditworthiness assessment, and optimising transaction approval rates using advanced DS/ML techniques is a strong plus. Experience Required skills Hands-on experience building and deploying ML … models in Python SQL skills and familiarity with AWS for deployment and data workflows. Strong knowledge of statistical modelling, anomaly detection, clustering, and supervised/unsupervised learning Experience working with large-scale data Proven success collaborating with product and engineering teams to ship ML-based features and tools Strong communication skills and business acumen to present complex technical ideas … of relevant experience, OR equivalent Nice to Have Demonstrated ability to design and validate features using transactional and behavioral data from financial services Proven track record in payment risk, fraud detection, or credit decisioning is strongly preferred Experience with model governance and monitoring in regulated environments Experience with cloud platforms (AWS, GCP, Azure), preferably AWS, ML tools such More ❯

ideally in the context of A2A payments or other financial transaction systems is a strong plus. Bring experience or gain knowledge to act as a subject matter expert in fraud detection, creditworthiness assessment, and optimising transaction approval rates using advanced DS/ML techniques is a strong plus. Experience Required skills Hands-on experience building and deploying ML … models in Python SQL skills and familiarity with AWS for deployment and data workflows. Strong knowledge of statistical modelling, anomaly detection, clustering, and supervised/unsupervised learning Experience working with large-scale data Proven success collaborating with product and engineering teams to ship ML-based features and tools Strong communication skills and business acumen to present complex technical ideas … of relevant experience, OR equivalent Nice to Have Demonstrated ability to design and validate features using transactional and behavioral data from financial services Proven track record in payment risk, fraud detection, or credit decisioning is strongly preferred Experience with model governance and monitoring in regulated environments Experience with cloud platforms (AWS, GCP, Azure), preferably AWS, ML tools such More ❯

ideally in the context of A2A payments or other financial transaction systems is a strong plus. Bring experience or gain knowledge to act as a subject matter expert in fraud detection, creditworthiness assessment, and optimising transaction approval rates using advanced DS/ML techniques is a strong plus. Experience Required skills Hands-on experience building and deploying ML … models in Python SQL skills and familiarity with AWS for deployment and data workflows. Strong knowledge of statistical modelling, anomaly detection, clustering, and supervised/unsupervised learning Experience working with large-scale data Proven success collaborating with product and engineering teams to ship ML-based features and tools Strong communication skills and business acumen to present complex technical ideas … of relevant experience, OR equivalent Nice to Have Demonstrated ability to design and validate features using transactional and behavioral data from financial services Proven track record in payment risk, fraud detection, or credit decisioning is strongly preferred Experience with model governance and monitoring in regulated environments Experience with cloud platforms (AWS, GCP, Azure), preferably AWS, ML tools such More ❯

ideally in the context of A2A payments or other financial transaction systems is a strong plus. Bring experience or gain knowledge to act as a subject matter expert in fraud detection, creditworthiness assessment, and optimising transaction approval rates using advanced DS/ML techniques is a strong plus. Experience Required skills Hands-on experience building and deploying ML … models in Python SQL skills and familiarity with AWS for deployment and data workflows. Strong knowledge of statistical modelling, anomaly detection, clustering, and supervised/unsupervised learning Experience working with large-scale data Proven success collaborating with product and engineering teams to ship ML-based features and tools Strong communication skills and business acumen to present complex technical ideas … of relevant experience, OR equivalent Nice to Have Demonstrated ability to design and validate features using transactional and behavioral data from financial services Proven track record in payment risk, fraud detection, or credit decisioning is strongly preferred Experience with model governance and monitoring in regulated environments Experience with cloud platforms (AWS, GCP, Azure), preferably AWS, ML tools such More ❯

their best work. Whether you're building on our platform, supporting our customers, or shaping our story: You can just ship things. About the Role: We're seeking a Fraud Specialist to join our Trust & Safety team, which protects the integrity of our platform across key abuse areas such as fraud, phishing, malware, CSAM, platform abuse, and IP …/DMCA infringement. In this role, you will collaborate across Operations, Product, Finance, and Engineering teams to strengthen and scale Vercel's fraud prevention capabilities. You'll analyze fraudulent activity, refine detection systems, develop operational processes, and help mitigate risk to both our users and the business. If you're based within a pre-determined commuting distance of … location-specific details, please connect with our recruiting team. What You Will Do: Investigate abuse vectors causing financial loss or reputational risk to the business. Monitor, maintain, and improve fraud detection and anomaly alerting systems. Develop and refine operational workflows to scale fraud prevention efforts. Manage and monitor the performance of internal tooling and fraud rules. More ❯

working on real-world problems that could reshape the future of finance? Join ea Change and become part of a team exploring how cutting-edge technologies can reduce payment fraud and disrupt traditional finance operations. About Us With over 20 years of experience in Business and IT Transformation, ea Change partners with organisations to deliver meaningful, lasting change. Through … Opportunity We're working with a leading client in the financial services sector who is investing heavily in the use of AI, machine learning, and blockchain to tackle payment fraud and drive innovation. As a Graduate Data Analyst, you'll be deployed onsite with their team, supporting data-driven decision-making and emerging technology initiatives. You'll work alongside … gen technologies — all while gaining hands-on experience that sets you apart in the job market. Responsibilities Support the design, testing, and evaluation of AI/ML models for fraud detection Analyse complex datasets to identify patterns, anomalies, and insights Collaborate with developers and data scientists to validate results and refine algorithms Assist in developing blockchain use cases More ❯

In a world where fraud detection and compliance are often reactive and fragmented, Synectics is transforming how organisations identify and manage risk. We turn disconnected risk signals into trusted, explainable decisions at scale-empowering clients to act with confidence and integrity. Built on 30 years of data-driven innovation, our success lies in collective defence-uniting cross sector … insight, collaboration, and cutting edge analytics to protect organisations and the public from fraud and financial crime. We're trusted by some of the UK's most important public and private sector institutions and are shaping the future of AI integrity, identity verification, and regulatory resilience. Why Join Us Be part of a major data transformation initiative Work in … residency criteria Synectics will support successful candidates through the clearance process. Ready to Lead the Future of Data Integrity? Join us in shaping the future of trusted data and fraud prevention. Apply today to lead, innovate, and make an impact at Synectics Solutions. More ❯

designing and implementing Quantexa solutions for clients. Technical excellence in Scala, Python and Databricks Skills we'd love to see/Amazing Extras: Experience delivering Quantexa in Financial Services, Fraud Detection, AML, or KYC domains. Exposure to DevOps and CI/CD pipelines, including tools such as Jenkins, GitHub Actions, or Azure DevOps. Familiarity with containerisation technologies like More ❯

designing and implementing Quantexa solutions for clients. Technical excellence in Scala, Python and Databricks Skills we’d love to see/Amazing Extras: Experience delivering Quantexa in Financial Services, Fraud Detection, AML, or KYC domains. Exposure to DevOps and CI/CD pipelines, including tools such as Jenkins, GitHub Actions, or Azure DevOps. Familiarity with containerisation technologies like More ❯

designing and implementing Quantexa solutions for clients. Technical excellence in Scala, Python and Databricks Skills we’d love to see/Amazing Extras: Experience delivering Quantexa in Financial Services, Fraud Detection, AML, or KYC domains. Exposure to DevOps and CI/CD pipelines, including tools such as Jenkins, GitHub Actions, or Azure DevOps. Familiarity with containerisation technologies like More ❯

designing and implementing Quantexa solutions for clients. Technical excellence in Scala, Python and Databricks Skills we’d love to see/Amazing Extras: Experience delivering Quantexa in Financial Services, Fraud Detection, AML, or KYC domains. Exposure to DevOps and CI/CD pipelines, including tools such as Jenkins, GitHub Actions, or Azure DevOps. Familiarity with containerisation technologies like More ❯

designing and implementing Quantexa solutions for clients. Technical excellence in Scala, Python and Databricks Skills we’d love to see/Amazing Extras: Experience delivering Quantexa in Financial Services, Fraud Detection, AML, or KYC domains. Exposure to DevOps and CI/CD pipelines, including tools such as Jenkins, GitHub Actions, or Azure DevOps. Familiarity with containerisation technologies like More ❯

designing and implementing Quantexa solutions for clients. Technical excellence in Scala, Python and Databricks Skills we’d love to see/Amazing Extras: Experience delivering Quantexa in Financial Services, Fraud Detection, AML, or KYC domains. Exposure to DevOps and CI/CD pipelines, including tools such as Jenkins, GitHub Actions, or Azure DevOps. Familiarity with containerisation technologies like More ❯

projects could include: Establishing the foundation for product analytics at Tempcover, including event tracking, platform insights, and user behaviour analysis Investigating customer segments and behaviours to support pricing, targeting, fraud-detection and product development decisions Modelling and tracking customer return behaviour across products and platforms Analyzing and improving digital marketing and consumer journeys across our businesses Designing and More ❯

years’ experience with transaction and merchant monitoring. Our client, a dynamic and rapidly growing UK-based FinTech company, is seeking an experienced Transaction Monitoring Analyst to join their internal fraud and AML team. This is a unique opportunity to lead a small but critical function at the forefront of financial crime prevention. As a senior analyst, you will be … to the continuous improvement of the team's processes and systems. Duties of the Transaction Monitoring Analyst to include: Complex Case Investigation: Conduct in-depth investigations into high-risk fraud and money laundering alerts, using advanced analytical techniques and open-source intelligence to build comprehensive case narratives. SAR Preparation: Draft and finalize thorough Suspicious Activity Reports (SARs) for regulatory … to the refinement of internal policies and procedures. Requirements for the successful Transaction Monitoring Analyst to include: Candidates must have 3-5+ years of hands-on experience in fraud detection, transaction monitoring, or AML compliance within financial services, with a proven track record of handling both fraud and AML investigations from start to finish. Experience drafting More ❯