14 of 14 Remote Fraud Detection Jobs in the South East

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 ❯

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 ❯

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 ❯

Platform Modernisation – transforming legacy estates into scalable, cloud-native data platforms that accelerate innovation and reduce time-to-market. AI & Advanced Analytics – deploying machine learning and generative AI for fraud detection, risk modelling, hyper-personalised experiences, and intelligent document processing. Responsible AI & Governance – designing frameworks to ensure AI adoption is safe, compliant, and trusted by regulators and customers. More ❯

Platform Modernisation – transforming legacy estates into scalable, cloud-native data platforms that accelerate innovation and reduce time-to-market. AI & Advanced Analytics – deploying machine learning and generative AI for fraud detection, risk modelling, hyper-personalised experiences, and intelligent document processing. Responsible AI & Governance – designing frameworks to ensure AI adoption is safe, compliant, and trusted by regulators and customers. More ❯

Platform Modernisation – transforming legacy estates into scalable, cloud-native data platforms that accelerate innovation and reduce time-to-market. AI & Advanced Analytics – deploying machine learning and generative AI for fraud detection, risk modelling, hyper-personalised experiences, and intelligent document processing. Responsible AI & Governance – designing frameworks to ensure AI adoption is safe, compliant, and trusted by regulators and customers. More ❯

transformation Familiar with data and AI buzzwords and able to ground them in government use cases: Data governance (compliance, ethics, transparency). Data engineering & integration across silos. Analytics for fraud detection, citizen services, and operational efficiency. AI/ML applied in policy, security, or service delivery contexts. A natural communicator, ideally an extrovert techie who enjoys client interaction. More ❯