1 to 25 of 30 Remote Fraud Detection Jobs

support the ever-expanding business needs of Parks Commercial Platforms. Our team owns and operates 30+ production backend and frontend services powering payment processing, fraud detection, gift card management, and card issuance across Walt Disney World, Disneyland, Disney Cruise Line, Disney Store, and other Disney properties. We seek … Applying AI-assisted development practices including AI-assisted code review, automated testing, secure prompt engineering, and identifying opportunities to apply AI/ML in fraud detection and payment optimization Providing input on future initiatives with stakeholders and fellow engineers, including technical debt prioritization, platform modernization, and capital planning ...

Applied Data Scientist – Fraud Detection Contract: 6 months Engagement: Inside IR35 Location: Fully remote, with occasional travel to the London office. The Role We're looking for an experienced Applied Data Scientist to help improve the performance of our production fraud detection models. Working within … Fraud Intelligence team, you'll analyse large-scale datasets, identify new behavioural signals and optimise machine learning models to improve fraud detection accuracy while reducing false positives. This is a highly practical role suited to someone who enjoys working with complex data and delivering measurable improvements ...

analysing and enabling the use of customer interaction data at scale. A new workstream, known internally as Flocking and within HMRC as the Adaptive Detection System for Counter Fraud, is being established to transform fraud detection capabilities across HMRC. This innovative programme aims to move fraud detection from reactive, rules-based approaches to a proactive, automated capability that identifies organised fraud networks and hidden relationships across large-scale datasets. The platform will enable investigators to uncover complex fraud patterns across banking, VAT, Self-Assessment, PAYE and other services in hours rather than ...

deploying AI-driven solutions that deliver measurable business value. Your expertise in applying AI to address financial services challenges such as risk modeling, fraud detection and regulatory compliance will be essential, as will your ability to drive innovation and guide clients through the adoption of responsible and effective … strategies for financial services, focusing on risk, compliance, and operational efficiency Design and deploy AI-enabled solutions for use cases such as credit scoring, fraud detection, and customer analytics Implement AI governance frameworks including compliance with Basel III, GDPR, and ethical AI practices Lead deployment of MLOps pipelines ...

Head of Detection & Decisioning Location: Hybrid, Manchester Salary: £70,000 to £90,000 DOE Our client is looking for an experienced Head of Detection & Decisioning to lead the development of a brand‐new function at the heart of their Financial Crime operation. This is a rare opportunity … shape how fraud and financial crime are detected across a growing fintech business. You'll take ownership of detection strategies, transaction monitoring, rules engines and machine‐learning driven decisioning, helping to protect customers while ensuring the business remains compliant with UK regulations. If you have a strong background ...

Head of Detection & Decisioning Location: Hybrid, Manchester Salary: £70,000 to £90,000 DOE Our client is looking for an experienced Head of Detection & Decisioning to lead the development of a brand-new function at the heart of their Financial Crime operation. This is a rare opportunity … shape how fraud and financial crime are detected across a growing fintech business. You'll take ownership of detection strategies, transaction monitoring, rules engines and machine learning driven decisioning, helping to protect customers while ensuring the business remains compliant with UK regulations. If you have a strong background ...

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 ...

senior data scientists, fostering a high-performance, collaborative team environment Model Development & Deployment Develop and deploy machine learning models for use cases such as: Fraud detection Credit risk modeling Customer segmentation and personalization Forecasting and optimization Ensure models are scalable, explainable, and production-ready Work closely with engineering ...

/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. ...

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 ...

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 ...

Technology team requires specialist Apache Cassandra (NoSQL) expertise to support the design and operational readiness of high-volume, real-time data platforms underpinning the fraud detection ecosystem. This capability does not currently exist in-house, as the team's core expertise is centred on Actimize application engineering, Oracle ...

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 ...

workflows (e.g. automated claims triage, document extraction pipelines, underwriting assist tools).Build and evaluate ML/predictive models relevant to insurance: churn, risk scoring, fraud detection, reserve estimation.Validate outputs from engineering teams against the original solution design; identify deviations before they reach the client.Establish and apply Responsible … Engineer), DP-100 (Azure Data Scientist), AI-900, or equivalent.Familiarity with insurance-specific AI regulation guidance.Exposure to ML Ops practices: model versioning, drift detection, retraining pipelines, and A/B evaluation in production.Experience with multi-modal AI (document + image pipelines relevant to property claims or risk surveys).Familiarity ...

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 … 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 ...

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 ...

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 ...

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. ...

Investment Banking and/or Treasury. Expertise in at least one of the following: FCRM (Financial Crime Risk Management) experience with Anti Money Laundering, Fraud Detection and Sanctions screening solutions. ERP (Enterprise Resource Planning) experience, preferably SAP. Experience as a Data Business Analyst, specialising in data requirements, data ...

Remote is seeking a Senior Product Manager for Fraud and Compliance in the Fintech area. You will own risk systems across onboarding, credit risk, fraud detection, and enforcement while driving automation and proactive risk strategies. The role emphasizes async collaboration, platform-oriented design, and impactful KPIs ...

Monzo is seeking a Machine Learning Scientist to join a multidisciplinary squad. You will develop and deploy advanced ML models to detect fraudulent activity while balancing customer experience and cost. The role emphasizes production readiness ...

programmes. Advising clients on CIAM best practices, regulatory requirements, and emerging identity trends. Exploring modern authentication technologies including biometrics, passwordless authentication, and AI-driven fraud detection. Supporting the delivery of digital identity and IAM projects across a range of industries. Contributing to innovation, new service offerings, and the growth ...