1 to 25 of 41 Remote/Hybrid Fraud Detection Jobs in London

Description Head of Fraud, hybrid working based in Northern Home Counties, A background of both enforcement agencies and commercial roles is required. An Executive Compensation package is on offer. You must have the right to work in the UK. We are recruiting an individual with significant experience in fraud … risk management, investigations, or financial crime. Probably degree educated with proven leadership experience in building and managing teams. You will need strong knowledge of fraud typologies, AML, and regulatory frameworks, with experience in digital transformation and aligning fraud technologies. An analytical mindset with experience in fraud detection ...

LondonFraud & Financial Crime – Fraud Ops/Employee - Permanent/HybridOur StoryHello there. We’re Zopa.We started our journey back in 2005, building the first ever peer-to-peer lending company. Fast forward to 2020 and we launched Zopa Bank. A bank that listens to what our customers … here at Zopa, so join us, and make it count. Want to see us in action? Follow us on Instagram @zopalifeThe role:As a Fraud Team Leader at Zopa, you’ll lead the day-to-day running of our fraud investigations and recovery team within the Fraud ...

Solutions Engineering team with a dedicated focus on our Offerwall (OFW) product. This role covers two distinct but connected responsibilities: analyzing and adjudicating advertiser fraud claims raised against publishers, and overseeing the performance and evolution of our outsourced Customer Support (CS) team that handles end-user ticketing. This … comfortable moving between data investigation, process improvement, and vendor/team performance management, and who is motivated to help shape how both fraud review and customer support evolve — including through AI-driven tooling. The Solutions Engineering team is built to be versatile: other members focus on different products across ...

Solutions Engineering team with a dedicated focus on our Offerwall (OFW) product. This role covers two distinct but connected responsibilities: analyzing and adjudicating advertiser fraud claims raised against publishers, and overseeing the performance and evolution of our outsourced Customer Support (CS) team that handles end-user ticketing. This … comfortable moving between data investigation, process improvement, and vendor/team performance management, and who is motivated to help shape how both fraud review and customer support evolve — including through AI-driven tooling. The Solutions Engineering team is built to be versatile: other members focus on different products across ...

adoption roadmaps, business cases, delivery plans, and governance models. Identify and shape AI use cases across enterprise automation, predictive analytics, document intelligence, compliance monitoring, fraud detection, payments, lending, customer service, and workflow optimisation. Oversee the delivery of LLM, RAG, Agentic AI, Conversational AI, and multi-agent solutions. Lead … change management, operating model design, and post-deployment optimisation. Strong communication, leadership, and consulting skills. Desirable Skills Experience within banking, financial services, payments, lending, fraud detection, customer servicing, or regulated enterprise environments. Knowledge of Microsoft Copilot, SAP Joule, enterprise GenAI tools, or AI-enabled ERP automation. Experience designing ...

conversion and ensuring that journey remains secure. PAC manages DeepL's self-serve B2C segment, driving user activation, retention, and monetisation while maintaining robust fraud and abuse prevention across the platform. The team owns the end-to-end checkout experience, payment gateway integrations, pricing and packaging, and a suite … proprietary fraud and bot protection systems. Your primary customers are DeepL's end users and the revenue they generate, with direct, measurable impact on self-serve ARR and fraud loss metrics. Your responsibilities People Leadership: Lead, mentor, and grow a distributed team of engineers across varying seniority levels. ...

alignment withfinancial servicessector needs. Provide expert guidanceonspecialist areas such as identity & access management (IAM), zero-trust architectures, cloud security, and data privacyframeworks, payment systems, fraud detection, digital banking security, and third-party/vendor risk management. Advise financial institutionsonregulatory compliance(e.g., FCA/PRA, - relevant regulations … business outcomes. Cyber Security, Digital Trust & Compliance Expertise Advise clientsin areas such as identity & access management (IAM), zero-trust architectures, cloud security,data privacyframeworks, fraud detection, digital banking security, and third-party/vendor risk management. Support financial institutionsin achieving compliance with evolving regulations, enhancingoperational resilience and cyber ...

paid conversion and ensuring that journey remains secure.PAC manages DeepL's self-serve B2C segment, driving user activation, retention, and monetisation while maintaining robust fraud and abuse prevention across the platform. The team owns the end-to-end checkout experience, payment gateway integrations, pricing and packaging, and a suite … proprietary fraud and bot protection systems. Your primary customers are DeepL's end users and the revenue they generate, with direct, measurable impact on self-serve ARR and fraud loss metrics.Your responsibilitiesPeople Leadership: Lead, mentor, and grow a distributed team of engineers across varying seniority levels. You will ...

solutions, defining RFI/RFP frameworksPreferably you will also have:Experience in implementing AI-driven solution within the general insurance lifecycle (e.g., claims automation, fraud detection, risk assessment, etc.) is highly desirableProfessional certifications such as AWS Certified Solutions Architect, Azure Solutions Architect Expert, or Google Professional Cloud Architect ...

/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. ...

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 ...

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 ...

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 ...

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 ...

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 ...

Engineering, AI/ML, Data Science and Design to deliver innovative document verification capabilities. Drive improvements in verification accuracy, customer conversion, operational efficiency and fraud prevention. Work closely with Growth, Customer Success and Sales teams to understand market needs and customer priorities. Understand evolving regulatory, compliance and industry requirements … Experience in the following: KYC and/or identity and/or financial services ML frameworks, methodologies, and AI-informed decision‐making Financial crime, fraud detection, ID&V B2B2C Sales environments What you can expect when you join our team: Career Growth: Whether you’re a budding developer ...

Analytics for Payment Performance:We pride ourselves on being the best payment platform for achieving market leading acceptance rates through our Intelligent optimisation and fraud detection engine. AsSenior Data Analytics Manager, you will own the data analytics delivery underpinning multiple products that define our competitive edge. Being … data interrogation skills with SQL/Python, Data Modelling/Engineering, applied statistics (e.g., hypothesis testing, regression, predictive modelling)Ideally, having worked with acceptance, fraud and cost optimisation within the context of payments or financial technology servicesRobust understanding of how products should be instrumented, with the ability to optimize ...

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 ...

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 ...

business and expand existing relationships across our Financial Crime Compliance (FCC) solution suite — including AML, KYC, Customer Due Diligence (CDD), sanctions screening, and fraud prevention technology — within financial services enterprise accounts. This role is ideal for a seasoned sales professional who combines deep domain expertise in financial crime … banks, fintechs, payment providers, insurers, or capital markets firms).• Extreme depth of knowledge in Financial Crime Compliance — AML, KYC/CDD, sanctions screening, fraud detection, transaction monitoring, and regulatory risk.• Demonstrated history of success consistently meeting or exceeding sales quotas in complex, multi-stakeholder enterprise sales cycles. ...

parameters, URL structures, and query strings for campaign trackingAre familiar with programmatic buying and real-time bidding (RTB) mechanicsUnderstands brand safety, viewability, and fraud detection technologiesAre passionate about problem-solving and using their analytical sideAre inquisitive and need to know why we are doing whatever we are doing ...

structures, and query strings for campaign tracking Are familiar with programmatic buying and real-time bidding (RTB) mechanics Understands brand safety, viewability, and fraud detection technologies Are passionate about problem-solving and using their analytical side Are inquisitive and need to know why we are doing whatever ...

developing junior analysts. On any given week you might be: Analysing portfolio performance and identifying where coverage, rates or footprint need adjusting Building fraud detection models and identifying new risk signals at point of quote Working with the panel of underwriters to improve how they assess and select … explain complex findings clearly to senior stakeholders. On the technical side, Python or R, SQL, and experience with modelling techniques like GBMs are important. Fraud analytics experience is a plus, as is data enrichment, though fresh thinking on both counts matters just as much as direct experience. Cloud data ...

developing junior analysts. On any given week you might be: Analysing portfolio performance and identifying where coverage, rates or footprint need adjusting Building fraud detection models and identifying new risk signals at point of quote Working with the panel of underwriters to improve how they assess and select … explain complex findings clearly to senior stakeholders. On the technical side, Python or R, SQL, and experience with modelling techniques like GBMs are important. Fraud analytics experience is a plus, as is data enrichment, though fresh thinking on both counts matters just as much as direct experience. Cloud data ...

developing junior analysts. On any given week you might be: Analysing portfolio performance and identifying where coverage, rates or footprint need adjusting Building fraud detection models and identifying new risk signals at point of quote Working with the panel of underwriters to improve how they assess and select … explain complex findings clearly to senior stakeholders. On the technical side, Python or R, SQL, and experience with modelling techniques like GBMs are important. Fraud analytics experience is a plus, as is data enrichment, though fresh thinking on both counts matters just as much as direct experience. Cloud data ...