26 to 50 of 117 Fraud Detection Jobs in England

/7 support, and reduce wait times. Sentiment Analysis : Use AI to analyze customer feedback and sentiment from various channels to improve services. 2. Fraud Detection and Prevention Real-Time Monitoring : Implement AI algorithms to detect and flag unusual transactions in real-time. Predictive Analytics : Use machine learning … models to predict potential fraud based on historical data and behavioural patterns. 3. Loan Processing Automation Credit Scoring : AI can evaluate creditworthiness more accurately by analyzing a wider range of data points. Document Verification : Automate the verification of documents submitted for loan applications, speeding up the approval process. 4. ...

strengths and interests, you'll have the opportunity to move between them. Job responsibilities Drives the direction of a greenfield AI/ML-centric fraud risk product Defines product strategy, requirements, roadmap and prioritisation Delivers product capabilities that deliver both reactive fraud detection and proactive fraud … team culture that operates efficiently and supports each other Required qualifications, capabilities and skills Extensive product management experience, with hands‐on experience building fraud and dynamic assessment products, ideally across a wide range of capabilities including workflow orchestration, data integration, model development and case management A desire to solve ...

will own the AI strategy and delivery capability across a $200M+ technology portfolio spanning some of the most operationally complex domains in banking: KYC, fraud detection, wholesale lending operations, global reconciliations, cash management, payments control, non‐financial regulatory reporting, payroll, and international operations . The scale is significant … agentic safety at enterprise scale. AI/ML Engineering & MLOps: Full AI/ML lifecycle ownership: training pipelines, model deployment, versioning, monitoring, drift detection, observability (e.g., Weights & Biases, Arize), and lifecycle management using platforms such as MLflow, Vertex AI, or SageMaker. Cloud AI Platforms: Demonstrated deployment of AI workloads ...

will own the AI strategy and delivery capability across a $200M+ technology portfolio spanning some of the most operationally complex domains in banking: **KYC, fraud detection, wholesale lending operations, global reconciliations, cash management, payments control, non-financial regulatory reporting, payroll, and international operations**. The scale is significant … agentic safety at enterprise scale* AI/ML Engineering & MLOps: Full AI/ML lifecycle ownership: training pipelines, model deployment, versioning, monitoring, drift detection, observability (e.g., Weights & Biases, Arize), and lifecycle management using platforms such as MLflow, Vertex AI, or SageMaker* Cloud AI Platforms: Demonstrated deployment of AI workloads ...

specific data and AI priorities of financial services buyersDesign and lead proof of concept engagements covering risk analytics, regulatory data platforms, real-time fraud detection, customer intelligence, and AI/ML workloads in FSI environmentsAct as a subject matter expert on financial services data architecture, translating complex regulatory … significant exposure to financial services customersDeep understanding of financial services data use cases including risk management, regulatory reporting (Basel, MiFID II, GDPR), market data, fraud analytics, and AI/ML for credit and customer intelligenceStrong hands-on expertise with cloud data platforms, ideally including Snowflake, and the ability ...

solutions for: Retail Banking Commercial Banking Corporate Banking Trade Finance Payments & Cards Lending & Mortgages Treasury & Capital Markets Risk & Compliance Customer Onboarding & KYC AML/Fraud Detection Cloud & Modernization Lead cloud transformation initiatives across AWS, Azure, or GCP. Design cloud-native and hybrid architectures. Drive legacy modernization and platform ...

leading vendors for package solutions, defining RFI/RFP frameworksExperience in implementing AI-driven solution within the general insurance lifecycle (e.g., claims automation, fraud detection, risk assessment, etc.) is highly desirable.Professional certifications such as AWS Certified Solutions Architect, Azure Solutions Architect Expert, or Google Professional Cloud Architect ...

UKI.recruitment@tcs.com or call TCS London Office number 02031552100/+44 204 520 2575 with the subject line: “Application Support Request”. Role: Fraud Manager Location: Darlington, UK Contract: Permanent Mode of Working: Hybrid Are you looking to leverage your skills in Public sector domain? We have a great … opportunity for you – Fraud Manager! Careers at TCS: It means more TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve - our clients include ...

UKI.recruitment@tcs.com or call TCS London Office number 02031552100/+44 204 520 2575 with the subject line: “Application Support Request”. Role: Fraud Manager Location: Darlington, UK Contract: Permanent Mode of Working: Hybrid Are you looking to leverage your skills in Public services domain? We have a great … opportunity for you – Fraud Manager! Careers at TCS: It means more TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve - our clients include ...

Scientist to join Monzo's FinCrime team. You will lead the development and deployment of advanced machine learning models to detect financial crime and fraud, while protecting genuine customers and optimising operational costs. About our Machine Learning FinCrime Team Our Financial Crime Data team consists of 25+ people across … keep Monzo and our customers safe. Our work has a direct impact on customer experience and the company’s bottom line by reducing fraud and scams in financial transactions. Our ML scientists work on problems spanning fraud detection and prevention, transaction monitoring for suspicious activity, customer risk ...

will own the AI strategy and delivery capability across a $200M+ technology portfolio spanning some of the most operationally complex domains in banking: KYC, fraud detection, wholesale lending operations, global reconciliations, cash management, payments control, non-financial regulatory reporting, payroll, and international operations. The scale is significant … workflows, and agentic safety at enterprise scaleAI/ML Engineering & MLOps: Full AI/ML lifecycle ownership: training pipelines, model deployment, versioning, monitoring, drift detection, observability (e.g., Weights & Biases, Arize), and lifecycle management using platforms such as MLflow, Vertex AI, or SageMakerCloud AI Platforms: Demonstrated deployment of AI workloads ...

J.P. Morgan in the UK is seeking a Fraud Strategy Director to lead end-to-end fraud detection and risk management for Chase UK card/payment. You will drive analytics, develop models, and coordinate across product, fraud operations, and technology to minimize losses and protect … clients. The role requires senior leadership, strategic thinking, and hands-on execution with a track record in fraud strategy, rule writing, and cross-functional delivery within financial services. #J-18808-Ljbffr ...

Work on high-complexity tasks in problems often within multiple business or analytical domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc. encouraging enhanced solutions Package, summarize, visualize and perform storytelling on analytical findings and results for management and business usersCommunicate ...

Work on high-complexity tasks in problems often within multiple business or analytical domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc. encouraging enhanced solutions Package, summarize, visualize and perform storytelling on analytical findings and results for management and business usersCommunicate ...

Work on high-complexity tasks in problems often within multiple business or analytical domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc. encouraging enhanced solutions Package, summarize, visualize and perform storytelling on analytical findings and results for management and business usersCommunicate ...

technical requirements and actionable data strategies.Develop, validate, and deploy machine learning models and AI solutions to address specific client challenges, such as risk assessment, fraud detection, claims optimisation, and customer personalisation.Communicate project progress, risks, and issues to clients and stakeholders, and provide recommendations for addressing any challenges that ...

that affect the FS industry, these could include: Process Automation & Digitisation (for example: RPA for KYC, reconciliations, reporting) AI/ML Automation (eg for fraud detection, credit etc) Customer Journey & Experience redesign (eg: Omni-channel, Mobile First) Risk Management & Compliance (Regulatory reporting automation, Real‐time transaction monitoring)Operational … Risk Reduction (for Cyber, Fraud, process failure etc), eg: Standardised procedures and SLAs Monitoring operational KPIs/KRIs Data Quality, Governance & Analytics (Data quality frameworks, Master data management) Cost Optimisation & Operational Efficiency (Lean process redesign, Vendor optimisation, Technology Modernisation) Core banking modernisation (Cloud migration etc). Operational Resilience & Business ...

that affect the FS industry, these could include: Process Automation & Digitisation (for example: RPA for KYC, reconciliations, reporting) AI/ML Automation (eg for fraud detection, credit etc) Customer Journey & Experience redesign (eg: Omni-channel, Mobile First) Risk Management & Compliance (Regulatory reporting automation, Real‐time transaction monitoring)Operational … Risk Reduction (for Cyber, Fraud, process failure etc), eg: Standardised procedures and SLAs Monitoring operational KPIs/KRIs Data Quality, Governance & Analytics (Data quality frameworks, Master data management) Cost Optimisation & Operational Efficiency (Lean process redesign, Vendor optimisation, Technology Modernisation) Core banking modernisation (Cloud migration etc). Operational Resilience & Business ...

specific data challenges and business objectivesDesign and execute proof of concept engagements covering financial services use cases including risk analytics, regulatory data platforms, fraud detection, customer intelligence, and AI/ML workloadsDevelop working knowledge of the customer's existing data architecture, cloud environment, and technology stack to position … technical consulting in enterprise B2B technology, with exposure to financial services organisationsSolid understanding of financial services data use cases including risk management, regulatory reporting, fraud analytics, or customer data platformsHands-on experience with cloud data platforms and the ability to build and deliver compelling live demonstrations of complex data ...

have the autonomy and support to make an impact as we build for the long term.As a Senior Software Engineer on the Safety Detection Precision team, you’ll help close the gap between AI detection of safety risk on the road and customers’ expectation of a coachable moment. … review detections, intelligently identify ambiguous cases, and automate triage on either side — both surfacing real-world data that can improve the next generation of detection models and ensuring today’s detections translate into meaningful real-world risk reduction. This role is a strong fit for an engineer who enjoys ...

Waterloo, London. This role sits at the intersection of advanced machine learning and robust software engineering, focusing on deploying industrial-grade applications (such as fraud detection and predictive maintenance) across key sectors for an Enterprise AI client. Key Responsibilities Design, build, and deploy scalable machine learning algorithms ...

lead a team that innovates new product offerings and is responsible for the end-to-end product lifecycle for our financial crime prevention and detection capabilities across AML, KYC/CDD, sanctions screening, transaction monitoring, and fraud controls. You will act as the voice of the customer … strategy that delivers meaningful value to customers and aligns with the firm's broader objectives, covering AML, KYC/CDD, sanctions screening, transaction monitoring, fraud detection and investigator/case management tooling, while balancing regulatory compliance, customer experience and commercial value. Supports the expansion of our proposition into ...

lead a team that innovates new product offerings and is responsible for the end-to-end product lifecycle for our financial crime prevention and detection capabilities across AML, KYC/CDD, sanctions screening, transaction monitoring, and fraud controls. You will act as the voice of the customer … strategy that delivers meaningful value to customers and aligns with the firm's broader objectives, covering AML, KYC/CDD, sanctions screening, transaction monitoring, fraud detection and investigator/case management tooling, while balancing regulatory compliance, customer experience and commercial value. Supports the expansion of our proposition into ...

build a repeatable joint go-to-market motion through the creation of joint value propositions leveraging FICO’s AI decisioning technology across credit risk, fraud risk, and revenue assurance. The role operates at the intersection of two global organisations, driving pipeline from both existing mutual accounts and new Tech … within global Telco operators; proven ability to open new buying centres beyond IT. Experience selling complex platform software with a services wrap — credit risk, fraud risk, decisioning, analytics, or revenue assurance solutions strongly preferred. Ability to craft and execute a comprehensive joint business plan in a two-organisation environment ...

industry leader in traffic quality standards and transparency. Our research agenda focuses on staying ahead of adversarial actors through continuous innovation in detection methodologies, leveraging state-of-the-art techniques in deep learning and generative modeling, user behavior and multi-modal representation learning, anomaly detection, time-series analysis … while maintaining a seamless user experience.Key job responsibilities- Own the end-to-end product strategy and roadmap for Traffic Quality solutions, including invalid traffic detection, prevention, and measurement systems.- Drive technical innovation in fraud detection methodologies, leveraging machine learning, ad forensics and device attestation.- Lead cross-functional ...