51 to 75 of 118 Fraud Detection Jobs in England

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 ...

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 ...

establish best-in-class operational practices within a growing and innovative UK-based technology organisation.WHAT YOU'LL BE DOING:Technical Ownership for Identity & Fraud Platforms Lead 247 reliability operations for Screening services, ensuring uptime, performance, and compliance across WC1 and World Check verify Applications.Define and implement SLOs, SLIs … infrastructure-as-code tools (Terraform, GitHub Actions, Jenkins).Familiarity with observability platforms (Datadog, BigPanda, OpenTelemetry).Experience working with identity platforms and/or fraud detection systems.Excellent communication and stakeholder management skills; ability to influence across technical and business domains.Strong analytical mindset with a focus on measurable outcomes ...

establish best-in-class operational practices within a growing and innovative UK-based technology organisation. WHAT YOU'LL BE DOING: Technical Ownership for Identity & Fraud Platforms Lead 247 reliability operations for Screening services, ensuring uptime, performance, and compliance across WC1 and World Check verify Applications. Define and implement SLOs … infrastructure-as-code tools (Terraform, GitHub Actions, Jenkins).Familiarity with observability platforms (Datadog, BigPanda, OpenTelemetry).Experience working with identity platforms and/or fraud detection systems. Excellent communication and stakeholder management skills; ability to influence across technical and business domains. Strong analytical mindset with a focus on measurable ...

qualification.Right to work in the UK Nice to haveExperience in one or more of our domains (assessment/psychometrics, workforce skills/ontologies, recommendations, fraud detection).Familiarity with MLOps practices (CI/CD for ML, experiment tracking, data/version control) in a cloud environment.How we work ...

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 ...

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 ...

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 ...

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 ...

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 ...