76 to 100 of 148 Fraud Detection Jobs in the UK

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 ...

matters. AI is already making a difference across Aviva, helping colleagues and customers through areas such as claims summarisation, medical underwriting, customer service and fraud detection. As a Staff Applied AI Engineer, you will operate at the intersection of deep technical delivery and business enablement. You’ll bring hands ...

confidently challenge proposals to ensure we build robust, sustainable solutions. What you'll be doing Provide technical leadership for data science across Claims Fraud, shaping the approach to risk decisioning and fraud detection in partnership with Product and Engineering Design, build and iterate on production …/quality considerations, and integration into customer or operational workflows Strong statistical and modelling foundation, with experience in risk-based decisioning under uncertainty (e.g., fraud, credit, insurance, or other regulated domains) Proven ability to influence technical direction across Data Science and Engineering, including shaping scalable model/service integration ...

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 ...

promote interaction and camaraderie. Why Make a Move to FICO? 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 ...

TwinThread is looking for a Product Director to lead the development of an AI/ML-centric fraud risk product. This role involves defining product strategy, delivering capabilities for fraud detection and prevention, and building strong relationships with clients. Candidates should have extensive product management experience with … focus on fraud products, the ability to solve complex problems, and clear written communication skills. Join a diverse and inclusive team dedicated to making a significant impact. #J-18808-Ljbffr ...

thrives on leading high-performing Data Science teams, shaping commercial strategy, and driving innovation through advanced analytics, machine learning and AI to tackle fraud and financial crime challenges? A bit about the job: This is a senior leadership role within Aviva's Data Science function, responsible for driving … strategic application of Data Science, Machine Learning and AI across Fraud and Financial Crime. Working with one of the richest insurance datasets in the industry, you'll lead a team of Data Scientists and Analytics specialists to develop and deploy innovative solutions that deliver measurable business and customer outcomes. ...

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. ...

Practical knowledge or hands-on experience applying GenAI or AI-enabled tools within a banking or financial services context (e.g. AI-driven credit decisioning, fraud detection, customer experience)Minimum of 5 years of Banking credit (sales, operations, origination, servicing, portfolio management, trading) project management experience with relevant systems ...

Practical knowledge or hands-on experience applying GenAI or AI-enabled tools within a banking or financial services context (e.g. AI-driven credit decisioning, fraud detection, customer experience)Minimum of 5 years of Banking credit (sales, operations, origination, servicing, portfolio management, trading) project management experience with relevant systems ...

Practical knowledge or hands-on experience applying GenAI or AI-enabled tools within a banking or financial services context (e.g. AI-driven credit decisioning, fraud detection, customer experience)Minimum of 5 years of Banking credit (sales, operations, origination, servicing, portfolio management, trading) project management experience with relevant systems ...

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 ...

matters. AI is already making a difference across Aviva, helping colleagues and customers through areas such as claims summarisation, medical underwriting, customer service and fraud detection. As a Principal Applied AI Engineer, you'll help design and deliver the next generation of AI solutions while influencing the standards, governance ...

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 ...

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 ...

engagements, proposals and commercial estimates.Awareness of emerging technologies including digital wallets, tokenisation, embedded finance and AI (including Generative AI and Agentic AI), AI-driven fraud detection and intelligent automation within payment ecosystems.Knowledge of financial crime, AML controls, payment fraud prevention and security architecture.Exposure to international payment ecosystems ...

Chainalysis is seeking a Solutions Engineer for Alterya, an AI-powered fraud prevention platform. You will lead technical discovery, design fraud detection workflows, and drive successful deployments with banks, fintechs, and crypto businesses. This role blends technical consulting, integration work, and customer enablement across the full lifecycle. ...

proposals and commercial estimates. Awareness of emerging technologies including digital wallets, tokenisation, embedded finance and AI (including Generative AI and Agentic AI), AI-driven fraud detection and intelligent automation within payment ecosystems. Knowledge of financial crime, AML controls, payment fraud prevention and security architecture. Exposure to international ...

production-grade systems, ensuring our safety infrastructure is robust, observable, and scalable. What you'll do Design and build scalable backend infrastructure for abuse detection, deploying AI/ML models into production systems Architect robust APIs, data pipelines, and service architectures supporting real-time and batch moderation workflows Implement … safety roadmap on how the next generation of platform guardrails should be built for scale and precision. Requirements Direct experience tackling free-tier abuse, fraud detection, or fake-account/bot farming at scale 6+ years of backend software engineering experience building production systems at scale Strong production ...

production-grade systems, ensuring our safety infrastructure is robust, observable, and scalable. What you'll do: Design and build scalable backend infrastructure for abuse detection, deploying AI/ML models into production systems Architect robust APIs, data pipelines, and service architectures supporting real-time and batch moderation workflows Implement … safety roadmap on how the next generation of platform guardrails should be built for scale and precision. Requirements Direct experience tackling free-tier abuse, fraud detection, or fake-account/bot farming at scale 6+ years of backend software engineering experience building production systems at scale Strong production ...

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 ...

SLAsMonitor and maintain technical integrations with SSPs and adtech partners, spotting problems before partners doInvestigate and resolve issues across ad rendering, discrepancies, signals, IVT, fraud and delivery — getting to root cause rather than a workaroundUse supply performance data to surface trends, diagnose issues and recommend changes that grow revenueAct … prioritise a portfolio of partners without close supervisionNice to haveExperience with CTV supply integrationsExposure to gaming or mobile app supplyFamiliarity with IVT and fraud detection, ad rendering discrepancies or signal quality investigationExperience improving or documenting onboarding processes for a growing publisher portfolioExperience mentoring junior colleaguesWhat we can offerBonusHybrid ...