17 of 17 Fraud Detection Jobs in the City of London

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 ❯

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 ❯

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 ❯

the world's leading telecommunications companies. Our mission is to restore trust in voice communication by building a network-native intelligence layer to combat the global epidemic of voice fraud and AI-driven scams. This is a rare opportunity to be a foundational hire, shaping the future of a product designed to protect hundreds of millions of users. We … are building two core products: the Telco-Verified Security Shield (our primary, pre-call fraud detection) and the Personal Welcome Manager (our premium, AI-powered call screening experience). As the Senior Android Engineer for the Welcome Manager, you are the User-Facing Owner of our AI innovation showcase. This isn't just another UI/UX role 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 ❯

your marketing expertise can help protect the global economy. At Vyntra , were 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 worlds leading financial institutions to see risk differently and act faster. Were looking for a marketer whos hungry 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 ❯

OTE + MBO performance bonuses. Our client is a London-based AI consultancy working exclusively with mid-sized to enterprise financial institutions. They build compliant, custom AI systems covering fraud detection, compliance automation and cybersecurity. They are designed for the messy, regulated world banks and FS players actually operate in. They’re now hiring their first Account Executive More ❯

OTE + MBO performance bonuses. Our client is a London-based AI consultancy working exclusively with mid-sized to enterprise financial institutions. They build compliant, custom AI systems covering fraud detection, compliance automation and cybersecurity. They are designed for the messy, regulated world banks and FS players actually operate in. They’re now hiring their first Account Executive More ❯

have a background working in the financial services industry , either institutional or regulatory side, or a consultant supporting financial institutions/reviewing from a regulatory perspective. Knowledge of IFRS9 , Fraud detection and experience with Credit scoring and predictive modelling for financial institutions. If you’re interested in finding out more, please apply and your application will be reviewed More ❯

have a background working in the financial services industry , either institutional or regulatory side, or a consultant supporting financial institutions/reviewing from a regulatory perspective. Knowledge of IFRS9 , Fraud detection and experience with Credit scoring and predictive modelling for financial institutions. If you’re interested in finding out more, please apply and your application will be reviewed More ❯

ll lead a team of four data scientists focused on improving the customer experience across a dynamic online marketplace. You’ll work closely with teams across finance, shipping, and fraud, using data to uncover opportunities, optimise decision-making, and enhance how customers interact with the platform. The ideal candidate will combine hands-on technical skills with proven experience leading … scientists. Delivering data science projects that support customer and marketplace initiatives. Applying advanced analytics and machine learning to areas such as customer behaviour, marketing performance, supply chain optimisation, or fraud detection. Collaborating cross-functionally with finance, operations, and product teams to ensure insights drive action. Staying hands-on where needed to guide technical delivery and uphold quality. What we More ❯