1 to 25 of 78 Fraud Detection Jobs in the UK

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 ❯

We are looking for a Fraud Detection Technical Delivery Manager to join our dynamic team focused on cutting edge fraud prevention solutions. This role sits within our Fraud Prevention strategy working across three pillars: Identification and Verification, Detection and Servicing. You'll work closely with our Strategy and Analytics team, driving initiatives to continually optimise … our fraud detection platforms to ensure they remain at their best. To be successful in this role, you should have experience with: Strong experience in managing technology delivery projects, utilizing methodologies such as Agile or Scrum, with a proven track record of delivering projects on time and within budget. Excellent skills in communication and collaboration with cross functional … teams, including IT, compliance, and business units, to align project goals with organizational objectives. Familiarity with financial regulations and compliance standards related to fraud prevention, such as PCI DSS, GDPR, and anti money laundering (AML) laws. Ability to lead and mentor a team of technical professionals, fostering a culture of innovation and continuous improvement in fraud prevention practices 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 ❯

data scientists to develop and deploy machine learning models that drive critical business outcomes across the entire credit lifecycle. Your team will focus on building solutions for credit scoring, fraud detection, and collections, while also supporting various other business functions by providing data-driven insights and predictive capabilities. You will work with cutting-edge technologies in data science … Manage and mentor a team of data scientists, fostering a collaborative and innovative environment. Model Development : Lead the design, development, and deployment of machine learning models for credit scoring, fraud detection, and collections. Cross Functional Collaboration : Work closely with product, engineering, and compliance teams to integrate models into production systems. Data Analysis : Analyze large, complex datasets to extract … SQL, and machine learning libraries (e.g., scikit learn, TensorFlow, PyTorch). Strong knowledge of cloud environments and services (AWS, Google Cloud). Domain Knowledge : Experience in credit risk modeling, fraud detection, or financial services is highly desirable. Leadership : Strong ability to lead teams, manage projects, and communicate effectively with both technical and non technical stakeholders. Regulatory Awareness : Understanding 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 ❯

validate solution feasibility and execution models Work closely with the AI CoE in India to design PoCs, demonstrators, and accelerators Architect industry-specific AI solutions in: Banking/Payments: fraud detection, credit scoring, conversational AI, compliance automation Insurance: claims automation, risk modelling, personalised offerings Retail: demand forecasting, customer journey optimisation, hyper-personalised marketing Life Sciences: clinical trial analytics … experience in Enterprise Architecture, Data & AI, or Digital Transformation Deep industry knowledge in Banking, Insurance, Payments, Retail, or Life Sciences Strong grasp of AI-enabled use cases such as fraud detection, hyper-personalisation, or patient analytics Familiarity with financial and healthcare regulatory landscapes (GDPR, PSD2, EU AI Act, HIPAA) Excellent communication, client engagement, and workshop facilitation skills Proven More ❯

monitoring in production environments. Advanced Algorithm Design: Develop and implement sophisticated machine learning algorithms (e.g., Gradient Boosting, NLP, Deep Learning, Graph Analytics, Reinforcement Learning) for use cases such as fraud detection, credit scoring, algorithmic trading, customer segmentation, and sentiment analysis. Stakeholder Management: Collaborate closely with business leaders (e.g., Risk, Marketing, Trading, Operations) to translate complex business problems into … and concepts (e.g., Docker, Kubernetes, MLflow, Airflow) for model deployment and lifecycle management. Financial Domain Knowledge: Direct experience with at least two of the following domains: Credit Risk Modeling, Fraud Detection, Anti-Money Laundering (AML), Know Your Customer (KYC), Algorithmic Trading, Customer Lifetime Value (CLV), or Marketing Optimization. Model Risk Management (MRM): Solid understanding of model validation, bias 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 ❯

Overview About Outseer At Outseer we are empowering our customers to liberate the world from digital fraud. Our market-leading enterprise fraud and authentication platform is used by thousands of financial institutions around the world to protect millions of customer accounts and billions of transactions annually. Leveraging proven data science, including our proprietary consortium data, our customers use our … risk-based, machine learning platform to deliver the highest fraud detection rates, lowest false positive rates, and lowest customer intervention in the industry. We stop fraud, not customers. See what others can't at What you'll achieve As a Senior Data Scientist you will develop and implement machine learning models, perform advanced data analysis, and identify … to uncover trends and actionable insights. Create data visualizations, reports, dashboards, and perform data audits. Leverage predictive models to optimize customer experiences and drive business outcomes. Create automated anomaly detection systems to monitor and ensure data quality and operational performance. Qualifications Bachelor's degree in Data Science, Computer Science, or a related field. Doctorate in a quantitative field such More ❯

Build and maintain strong client relationships, delivering tailored AI solutions using generative and agentic AI frameworks. Identify innovative use cases for generative and agentic AI, such as credit decisioning, fraud detection, personalized banking, claims processing, underwriting automation, and algorithmic trading. Provide consulting on Gen-AI scalability, governance, prompt engineering, Gen-AI factory setup, and LLM fine-tuning. Integrate … and compliant deployment. Your Profile: Skilled in identifying and articulating AI/ML, generative AI, and agentic AI use cases in banking and insurance, including credit decisioning, claims processing, fraud detection, and personalized banking. Proven ability to build compelling business cases and value models that highlight the tangible impact of AI solutions. Strong experience across the full pre 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 ❯

oneAdvanced. • Design, develop, and deploy ETL strategy, design and executive to migrate Legacy finance data to Target. • Design, develop, and deploy predictive and prescriptive models (e.g., demand forecasting, anomaly detection, risk scoring, financial optimisation). • Build and manage end-to-end data pipelines using Azure Data Factory, Synapse, Dataverse, and Power BI. • Partner with oneAdvanced functional leads to enhance … data from oneAdvanced, legacy systems, and external data sources into central data platforms (EDW/Azure). • Implement machine learning use cases such as cashflow forecasting, working capital optimisation, fraud detection, and HR analytics. • Ensure compliance with GDPR, SOX, and internal governance when handling sensitive financial and HR data. • Support the development of a data-driven culture by More ❯

Personalisation: Tailoring game content, recommendations, and user journeys. Predictive Analytics: Forecasting user behaviour, churn, and engagement patterns. Content Generation: Exploring generative AI for dynamic game elements or marketing assets. Fraud Detection/Responsible Gaming: Enhancing platform security and player welfare through intelligent systems. Data & Insights: Collaborate with data scientists and product teams to integrate AI models, manage data More ❯

years, we have been developing sophisticated algorithms and infrastructures that leverage the full potential of data science and blockchain to address real-world challenges: quantitative modeling, business process automation, fraud detection, industrial system optimization, and predictive analytics. We work with both major corporations and SMEs across finance, banking, insurance, healthcare, and industry. Our strength lies in our R More ❯

years, we have been developing sophisticated algorithms and infrastructures that leverage the full potential of data science and blockchain to address real-world challenges: quantitative modeling, business process automation, fraud detection, industrial system optimization, and predictive analytics. We work with both major corporations and SMEs across finance, banking, insurance, healthcare, and industry. Our strength lies in our R More ❯