1 to 25 of 55 Fraud Detection Jobs in London

About the Team: At Sift, our mission is to help businesses thrive and trust their customers through our innovative fraud detection and prevention solutions. We are a committed team of professionals driving the fight against online fraud and abuse, fostering a safer digital world. Our collaborative and … inclusive workplace is a hub for creativity and innovation. Job Description: We are seeking a dynamic and outcome-driven Professional Services Consultant specializing in fraud detection and prevention to join our team at Sift. The ideal candidate will possess a blend of technical acumen, strategic thinking, and exceptional … communication skills to deliver comprehensive, client-focused fraud solutions. As a Professional Services Consultant, you will play a pivotal role in ensuring the successful implementation and optimization of our fraud solutions, driving client satisfaction and business success. Key Responsibilities: Project Management: Monitor project progress, mitigate risks, and ensure More ❯

of the Forensics & Integrity Services, our Forensic Data Analytics team provides advanced analytics services to support high profile and sensitive client matters such as fraud investigations, financial crime, disputes and litigations. Our work involves developing data and analytics solutions to regularly ingest and monitor data to detect regulatory and … compliance risks such as fraud, bribery and corruption, money laundering, sanctions breaches, know your customer failings (KYC), price fixing, mis-selling of financial products, employee misconduct, trader, and market abuse (surveillance), and much more. This is achieved by combining deep forensic investigation knowledge with advanced data engineering and data … investigative data linking, social network analysis, statistics, machine learning and large language models. About the role: We are seeking a dynamic and experienced Senior Fraud Analyst to join our team. In this role, you will work closely with financial services clients to identify and analyse emerging fraud trends More ❯

differently and are driven to make an outsized impact, you'll thrive here at Zopa, so join us, and make it count. As a Fraud Specialist at Zopa, you will be pivotal in detecting and investigating fraudulent activities. You will work closely with the broader fraud team, leveraging … our advanced fraud detection systems to gather and analyse data. Your key responsibilities will include: Identifying fraud within company systems and processes. Investigating root causes. Managing complex fraud cases through to resolution. This is a hybrid role - the team works in the office on Tuesdays and … skills and the ability to manage multiple tasks simultaneously. Conduct thorough reviews of CIFAS reports during onboarding screenings, analysing the data to identify potential fraud indicators and making informed decisions on the appropriate outcomes. Maintain clear and consistent communication with customers throughout the investigations process. Reporting to CIFAS and More ❯

Amazon is hiring a Senior Product Manager for the Vendor Investigations & Transaction Accuracy (VITA) team to drive development of our fraud investigations case management solutions. The product is a one-stop-shop for investigator needs, including case workflow, fraud detection, data access and querying, case resolution, and … many more features. VITA is responsible for identifying and preventing theft, fraud, abuse, and waste globally. Sleuth, the investigator command center, is the center of the investigators' work. From using rule-based detection, machine learning, or large language models, the product owner must pride themselves on understanding the … investigators' journey. The selected individual must obsess over a fraud investigator's experience, ensuring that the command center is providing best-in-class features. Amazon businesses are growing rapidly, creating a dynamic environment with many opportunities to combat theft, fraud, abuse, and waste. This position spearheads our efforts More ❯

Fraud Analyst - FX/Payments London - Hybrid Circa £50k - £60k A growing fintech specialising in cross-border payments and FX is seeking a Fraud Analyst/Associate with expertise in virtual cards, chargebacks, and payment fraud prevention . Key Responsibilities: Develop and implement fraud detection … data to identify fraudulent activity and reduce chargeback rates. Investigate and manage the full chargeback lifecycle, ensuring compliance with Visa/Mastercard regulations. Optimise fraud prevention tools, including machine learning models, to enhance detection accuracy. Collaborate with internal teams to improve fraud response protocols and educate stakeholders … on risk mitigation. Support and monitor pay-by-link payments , ensuring security through 3D Secure and fraud prevention measures. Key Requirements: Minimum of 2-3 years of fraud prevention experience in cards and payment processes within financial services. Hands-on experience in chargeback management and dispute resolution. Familiarity More ❯

Fraud Analyst - FX/Payments London - Hybrid Circa £50k - £60k A growing fintech specialising in cross-border payments and FX is seeking a Fraud Analyst/Associate with expertise in virtual cards, chargebacks, and payment fraud prevention . Key Responsibilities: Develop and implement fraud detection … data to identify fraudulent activity and reduce chargeback rates. Investigate and manage the full chargeback lifecycle, ensuring compliance with Visa/Mastercard regulations. Optimise fraud prevention tools, including machine learning models, to enhance detection accuracy. Collaborate with internal teams to improve fraud response protocols and educate stakeholders … on risk mitigation. Support and monitor pay-by-link payments , ensuring security through 3D Secure and fraud prevention measures. Key Requirements: Minimum of 2-3 years of fraud prevention experience in cards and payment processes within financial services. Hands-on experience in chargeback management and dispute resolution. Familiarity More ❯

with a strong presence across Europe and the Americas, we are leading the human-centric payment revolution as a truly global team. About Team Fraud This role is within our Fraud Prevention Team, a part of Trustly's Operations unit with approximately one hundred employees across Europe. This … team is responsible for Trustly's fraud prevention work and to make sure we protect us as a company and our customers. About the Role The Fraud space is evolving and growing at Trustly. Our Product, Tech & Operations function ensures Trustly's products and processes deliver robust fraud mitigation while preserving a great customer experience and supporting Trustly's growth. We are looking for an experienced Fraud Analyst who enjoys pattern detection and problem solving. The ability to navigate large datasets and draw out emerging fraud attacks and patterns. An analyst who wants to More ❯

customers for PEP and sanctions to identify and mitigate financial crime risks Collaborate with internal teams including compliance, engineering, and customer support to strengthen fraud detection and prevention measures Enhance fraud detection systems by identifying process gaps and recommending system improvements Contribute to process improvements and … help shape the future of Emma's financial crime prevention strategy Who we are looking for: 2+ years of experience in Fraud, AML, KYC, or related operational roles within financial services or fintech Experience with KYC checks and screening customers for PEP and sanctions lists Strong technical skills in … under pressure Customer-centric mindset with excellent communication skills to handle sensitive customer inquiries Proven ability to collaborate with cross-functional teams to improve fraud detection and operational efficiency Adaptability and flexibility to thrive in a fast-paced fintech environment and support weekend coverage as required Passion for More ❯

with business objectives and customer needs. Customer Experience: Champion a smooth, secure, and optimised checkout experience that drives conversion and reduces cart abandonment. Payments & Fraud Strategy: Work with the teams and third-party providers to optimise payment acceptance, ensure regulatory compliance, and implement fraud prevention strategies. Data-Driven … Decision-making: Continuously analyse key performance indicators (KPIs) such as checkout completion rates, payment success rates, and fraud detection efficiency to lead improvements. Collaboration: Partner with UX, Optimisation, Engineering, and Security teams to enhance checkout flows and integrate new technologies. Partner Management: Clearly communicate product updates, roadmaps, and … Proven experience in digital product management with a focus on Basket, Checkout, Payment and Fraud. Strong knowledge of ecommerce payments, including payment gateway integrations, fraud detection, and regulatory compliance. Experience optimising checkout and payment experiences to drive conversions and minimise customer friction. Strategic Thinking: Ability to analyse market More ❯

embed financing in their customer journeys, and we are building the solutions that will power that future. The Role: We're seeking a Credit Fraud Strategy Manager with strong experience in credit fraud detection and prevention to lead and enhance our strategic approach to managing fraud risk. In this role, you'll take ownership of our fraud strategy across all operating regions (currently the UK, EU and US), ensuring the right balance between loss mitigation and customer experience by minimising false positives and reducing unnecessary friction. You'll work closely with our fraud operations and underwriting teams to evaluate current fraud exposures, assess the effectiveness of our controls, monitor performance, and implement improvements that strengthen our fraud defences. Responsibilities: This is a high-impact role where you'll help shape the future of fraud prevention at YouLend, ensuring robust More ❯

Work with complex financial datasets to extract insights, optimise risk models, and improve trading strategies. 🤖 Machine Learning Development: Design and implement predictive models for fraud detection, credit scoring, and algorithmic trading. 📊 Data Visualisation & Reporting: Build dashboards and reports to communicate insights to both technical and non-technical stakeholders. … Desirable Skills Experience with Large Language Models (LLMs), Natural Language Processing (NLP), and generative AI for financial applications. Familiarity with time series forecasting, anomaly detection, or deep learning techniques . Exposure to financial APIs such as Bloomberg, Refinitiv, or Open Banking. Experience with cloud platforms (AWS, GCP, or Azure … for model deployment. Understanding of big data technologies like Spark or Hadoop. Knowledge of algorithmic trading, credit risk modelling, or payment fraud detection . Benefits 💰 Competitive Salary & Bonus: £35,000 - £45,000 plus performance-based incentives. 🏡 Hybrid Working: Flexible mix of office and remote work. 📈 Career Growth: Structured More ❯

Work with complex financial datasets to extract insights, optimise risk models, and improve trading strategies. 🤖 Machine Learning Development: Design and implement predictive models for fraud detection, credit scoring, and algorithmic trading. 📊 Data Visualisation & Reporting: Build dashboards and reports to communicate insights to both technical and non-technical stakeholders. … Desirable Skills Experience with Large Language Models (LLMs), Natural Language Processing (NLP), and generative AI for financial applications. Familiarity with time series forecasting, anomaly detection, or deep learning techniques . Exposure to financial APIs such as Bloomberg, Refinitiv, or Open Banking. Experience with cloud platforms (AWS, GCP, or Azure … for model deployment. Understanding of big data technologies like Spark or Hadoop. Knowledge of algorithmic trading, credit risk modelling, or payment fraud detection . Benefits 💰 Competitive Salary & Bonus: £35,000 - £45,000 plus performance-based incentives. 🏡 Hybrid Working: Flexible mix of office and remote work. 📈 Career Growth: Structured 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 ❯

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 ❯

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 ❯

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 ❯