26 to 50 of 79 Fraud Detection Jobs in the UK

other global regulations. ● Develop scalable policies and monitoring frameworks to reduce risk. ● Conduct audits, risk assessments, and compliance checks to identify areas for improvement. Fraud Prevention & Risk Reduction ● Manage fraud prevention rules, balancing risk reduction with revenue growth. ● Work with data science teams to optimize AI-driven fraud detection models. ● Monitor and report transaction patterns to detect unusual behaviours and potential fraud. Product & Technology for Risk Mitigation ● Own the Risk Mitigation Roadmap, ensuring compliance and fraud prevention align with business needs. ● Identify gaps in fraud tools and propose enhancements like real-time monitoring dashboards … and payment provider inquiries. ● Improve authorisation rates and reduce failed payments through strategic planning. Experience Required ● Strong experience in payment compliance, risk management, or fraud prevention. ● Strong knowledge of card scheme regulations and global compliance frameworks. ● Strong communication and project management skills ● Experience with fraud prevention tools, chargeback More ❯

of payments. Paysafe is seeking an experienced Senior Financial Crime Investigations Expert specializing in detecting and preventing illegal financial activities such as money laundering, fraud, and corruption. Your role involves analyzing complex financial data and transaction patterns related to our Ecash/Digital Wallets solutions, identifying suspicious activities, conducting … our office located in Gresham Street, near St Paul's Cathedral, with easy access via multiple transport links. The impact you will have: Investigate fraud and money laundering activities related to Ecash/Digital Wallets , analyzing suspicious transactions and customer behavior Identify risks and organized crime indicators through transaction … and compliance Ensure timely reporting of suspicious activities to regulators like FCA, CBI, and Italian FIU Support automation and improve processes in financial crime detection Monitor emerging fraud trends and regulatory changes Engage with various business channels, overcoming product and geographic complexities What we're looking for: Over More ❯

Join us as a Cybercrime Intelligence Fraud Analyst at Barclays, where you'll lead the evolution of our digital landscape, driving innovation and excellence. You'll utilize cutting-edge technology to revolutionize our digital offerings, ensuring unmatched customer experiences. In this role, you will identify, analyze, and mitigate potential … fraud threats by collaborating with multiple teams across the bank to implement control changes and process improvements, safeguarding our customers from fraud. To be successful as a Cybercrime Intelligence Fraud Analyst , you should have experience in: Cyber-fraud intelligence collection & analysis, cyber-enabled fraud investigations, or … tools used by cyber adversaries targeting the financial sector, including eBanking Trojans, POS/ATM malware, mobile malware, webinjects, and phishing kits. Experience with fraud detection and prevention systems. Strong stakeholder management skills. Additional valued skills include: Knowledge of social engineering tactics used by cybercriminals. Proficiency with Microsoft More ❯

advanced reporting, analytics, and machine learning across core business functions. Implement cutting-edge data capabilities to handle real-time events-such as claims processing, fraud detection, and dynamic pricing-ensuring timely and accurate insights. Identify, evaluate, and implement recommendations to enhance analytical processes and procedures. Stay updated on More ❯

makes a real difference in the way businesses operate worldwide: Credit Scoring - FICO Scores are used by 90 of the top 100 US lenders. Fraud Detection and Security - 4 billion payment cards globally are protected by FICO fraud systems. Lending - 3/4 of US mortgages are More ❯

/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. More ❯

Join Barclays as a Cyber Fraud Purple Team Analyst , where you'll lead the evolution of our digital landscape, driving innovation and excellence. You will be part of our Cyber Fraud Fusion Center, delivering scalable services to disrupt and prevent upstream economic crime. Key Responsibilities: Conduct fraud … and motivate yourself to achieve objectives. Communicate professionally at all levels. Preferred Skills and Experience: Experience in financial or regulated sectors. Knowledge of cyber-fraud intelligence and investigations. Understanding of malicious tools used by cyber adversaries. Experience with fraud detection systems. Awareness of social engineering tactics. Industry … qualifications. Experience in Red/Purple team environments. Bank fraud investigation experience. The role may involve assessment on risk, controls, transformation, and technical skills. The position is based in Knutsford or Northampton . Purpose: Develop and maintain solutions to safeguard bank systems and data. Accountabilities: Provide expertise on security More ❯

risk modelling, and data insights. What you'll do Define and execute: Own the roadmap for risk decisioning infrastructure , enabling scalable, automated credit and fraud decisioning. Product lifecycle ownership: Drive product development from concept to execution, including defining requirements, managing trade-offs, and prioritising technical work. Strategic partnership: Collaborate … our risk systems. Enhance and refine: Drive improvements to priority risk models , exploring opportunities to leverage LLMs (Large Language Models ) for enhanced credit decisioning, fraud detection, and risk evaluation. Integrate cutting-edge: Incorporate new and innovative fraud data sources to enhance risk assessment and decision-making. Leverage More ❯

risk modelling, and data insights. What you'll do Define and execute: Own the roadmap for risk decisioning infrastructure , enabling scalable, automated credit and fraud decisioning. Product lifecycle ownership: Drive product development from concept to execution, including defining requirements, managing trade-offs, and prioritising technical work. Strategic partnership: Collaborate … our risk systems. Enhance and refine: Drive improvements to priority risk models , exploring opportunities to leverage LLMs (Large Language Models ) for enhanced credit decisioning, fraud detection, and risk evaluation. Integrate cutting-edge: Incorporate new and innovative fraud data sources to enhance risk assessment and decision-making. Leverage More ❯

makes a real difference in the way businesses operate worldwide: Credit Scoring - FICO Scores are used by 90 of the top 100 US lenders. Fraud Detection and Security - 4 billion payment cards globally are protected by FICO fraud systems. Lending - 3/4 of US mortgages are More ❯

associated with payment processes across the bank. This role ensures that payment operations comply with regulatory requirements and internal risk frameworks while implementing robust fraud prevention measures. The Payment Risk Manager will lead a team, develop risk strategies, and collaborate with stakeholders to maintain the security and integrity of … communication and interpersonal skills, with a customer-first mindset. Familiarity with payment processing systems and digital banking platforms. Extensive experience in payment risk management, fraud prevention, or financial crime within banking or financial services. Strong knowledge of UK banking regulations, including FCA, PSD2, AML, and financial crime compliance. Experience … channels, including Faster Payments, CHAPS, Bacs, SWIFT, and Open Banking. Ensure compliance with regulatory requirements such as FCA, PSD2, AML, and Payment Services Regulations. Fraud Prevention & Financial Crime Risk Management: Oversee fraud detection and prevention measures across all payment channels. Work closely with fraud and financial More ❯

LONDON A fast-growing fintech lender is seeking a high-calibre Head of Data Science to lead their data-driven strategies across credit scoring, fraud prevention, and collections. This senior leadership role offers the chance to shape a next-generation lending platform in a high-growth environment backed by … driven approach to lending. THE ROLE As Head of Data Science, your day-to-day responsibilities include but are not limited to: Leading credit, fraud, and collections analytics across the credit lifecycle Designing scalable data science models to improve lending performance Enhancing acceptance rates while maintaining strong credit quality … Developing fraud detection techniques using cutting-edge algorithms Owning collections strategy and driving recovery improvements Collaborating with teams across product, risk, operations, and compliance SKILLS AND EXPERIENCE 5+ years in data science or credit analytics in a financial service or fintech environment Strong background in credit risk and More ❯

and an interest in the evolving payments landscape. Key Responsibilities: ? Conduct underwriting reviews for new and existing merchants ? Analyse transaction patterns, chargeback ratios, and fraud indicators ? Identify high-risk industries and merchants, applying enhanced due diligence ? Collaborate with compliance and legal teams on regulatory adherence ? Make data-driven recommendations … behaviour ? Work cross-functionally with Sales, Compliance, and Operations teams What We're Looking For: 2+ years of experience in underwriting, risk analysis, or fraud prevention (payments or financial services industry preferred) Strong understanding of card payment processing and merchant acquiring Proficiency in risk assessment tools, fraud detection More ❯

tools with AI-driven insights, predictive capabilities, and automated decision-making processes. AI-Powered Solutions: Develop AI-powered features for liveops, customer support, and fraud detection tools, such as automated ticket responses, player behavior analysis, and anomaly detection. AI Model Maintenance: Partner with data scientists to maintain, retrain More ❯

including AML and sanctions. The ideal candidate has a deep understanding of cryptocurrency, blockchain technology, and transaction analytics, along with experience in forensic investigations, fraud detection, and financial crime risk assessment. This role will be part of my clients Cryptocurrency Investigations and Compliance team, supporting the firm's … continued growth in the crypto sector. Key Responsibilities: Conduct cryptocurrency and blockchain investigations, including fraud, asset misappropriation, market manipulation, and sanctions evasion. Utilize blockchain analytics to trace transactions and assess fund movements. Collaborate on client alerts and thought leadership on cryptocurrency topics. Prepare reports, workpapers, and presentations to communicate … cryptocurrency and FinTech businesses on AML, KYC, transaction monitoring, and regulatory compliance. Maintain industry relationships for business development and networking. Support AML, sanctions, and fraud risk assessments for crypto/Web3 business models. Conduct research on regulatory requirements, including BSA/AML regulations and FinCEN guidelines. Develop and deliver More ❯

paced and changing environment, who likes to work autonomously, enjoys a challenge and wants to make an impact. Accountabilities Develop and maintain models for fraud detection, image validation, recommendations and other ML use cases, both batch and real time Discover and prioritise new use cases for data science More ❯

makes a real difference in the way businesses operate worldwide: • Credit Scoring - FICO Scores are used by 90 of the top 100 US lenders. • Fraud Detection and Security - 4 billion payment cards globally are protected by FICO fraud systems. • Lending - 3/4 of US mortgages are More ❯

About Us Hawk is the leading provider of AI-supported anti-money laundering and fraud detection technology. Banks and payment providers globally are using Hawk's powerful combination of traditional rules and explainable AI to improve the effectiveness of their AML compliance and fraud prevention by identifying … crime while maximizing efficiency by reducing false positives. With our solution, we are playing a vital role in the global fight against Money Laundering, Fraud, or the financing of terrorism. We offer a culture of mutual trust, support and passion - while providing individuals with opportunities to grow professionally and More ❯

an AI-driven observability and automation platform, leveraging: Telemetry ingestion (Kafka, OpenTelemetry, Fluentd). Streaming analytics (Flink, Spark, CEP engines). AI-driven anomaly detection & automation (AutoGPT, LangChain, MLflow, TensorFlow). Define technical requirements and architecture priorities for engineering teams. Partner with data scientists to improve AI-driven predictive … analytics, anomaly detection, and root cause analysis. Collaborate with banks, trading firms, and financial services IT teams to understand operational challenges. Develop use cases for AI-driven observability, fraud detection, self-healing infrastructure, and compliance monitoring. Work closely with sales and customer success teams to drive adoption … observability, AI automation, AIOps, or IT operations for financial services. Deep understanding of banking IT architectures, including trading systems, core banking, risk management, and fraud detection. Experience working with AI-driven monitoring, predictive analytics, or automation tools. Experience defining and executing product roadmaps, from idea to launch and scale. More ❯

ll collaborate with our Product, Engineering, and Commercial teams to build predictive models and data-driven solutions that power everything from eligibility checks to fraud detection, pricing, and beyond. Here's what you'll get up to: Get to grips with our data platform and begin contributing to … models that power core business decisions. Work on projects that span multiple areas, including pricing, risk assessment, and behavioural fraud detection. Build, deploy, and iterate on data models that bring clear and measurable value to our business. Collaborate with Engineering, Product, and Commercial teams to deliver data-driven products More ❯

incentivization programs to shift customer behavior from COD to prepaid payment. Partner with Data Science teams to implement ML models for returns optimization and fraud prevention. Implement AI/ML solutions for return fraud detection and prevention. Work cross-functionally with Engineering, Product, and Operations teams to More ❯

on or accounts to protect Amazon from risk of account takeover and to prevent/mitigate fraud. The team aims and works towards zero fraud, zero account takeovers, zero false positives, and zero scams of any kind. The team seeks the best possible trade-off between customer experience and … management systems) and to perform ad hoc reporting and analysis as needed Take appropriate action to identify and help minimize the risk posed by fraud or abuse patterns and trends Identify and eliminate root causes of defects in order to drive efficiency in Amazon's transportation operations Understand the … external customer experience Person should be willing to work in rotational shifts BASIC QUALIFICATIONS Min 2 years of experience working on identity verification/fraud detection processes Prior experience in manufacturing, transportation, customer service, and/or distribution environments Min 5 years of overall experience out of which More ❯

creative machine learning algorithms and thrive in a fast-paced, fun environment. An Applied Scientist is responsible for solving inherently hard problems in advertising fraud detection using deep learning, self-supervised techniques, representation learning and advanced clustering. An ideal candidate should have strong depth and breadth knowledge in More ❯

related quantitative sciences have been strategic to Amazon from the early years. Amazon has been a pioneer in areas such as recommendation engines, ecommerce fraud detection and large-scale optimization of fulfillment center operations. As Amazon has rapidly grown and diversified, the opportunity for applying machine learning has More ❯

Machine learning (ML) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations. The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and More ❯