1 to 25 of 44 Fraud Detection Jobs in the UK excluding London

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

more, aiming to transform traditional business models with cutting-edge digital solutions. Know more about us: Key Responsibilities Develop ML/DL models (XGBoost/LSTM/GNN) for fraud detection & risk prediction Optimize models through feature engineering and A/B testing Deploy real-time decision algorithms supporting global business Minimum Qualifications Master's in ML/… exceptional Bachelor's considered) 3+ years risk algorithm development Proficient in Python/SQL/TensorFlow/PyTorch English technical literature proficiency Preferred Qualifications Experience in cross-border anti-fraud/credit scoring Publications in top-tier conferences (KDD, ICML) Spark MLlib or distributed computing experience What We Offer A dynamic and challenging work environment in a leading global More ❯

marketing expertise can help protect the global economy. At Vyntra , we're a fintech innovator combining cutting-edge AI with deep financial intelligence to build solutions that matter. From fraud detection and AML to transaction observability, our products empower the world's leading financial institutions to see risk differently and act faster. We're looking for a marketer More ❯