22 of 22 Remote Fraud Detection Jobs

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 ...

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 ...

automating scoring using machine learning techniques", "build asset allocation models", "build algorithms for automating financial planning framework", "build recommendation systems", "build system for automated fraud detection", etc Analyse data to help in better decision making Supporting initiatives for data integrity and normalization Data mining using state ...

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 ...

/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. ...

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 ...

analytical data pipelines, builds automated financial models, and ensures regulatory compliance. They bridge the gap between data platforms and business stakeholders, focusing on risk, fraud detection, and reporting within the banking and finance sector. Hybrid working: The places that you work from day to day will vary according ...

also be UK based remote if needed) About the Company Our client is a rapidly growing international technology company operating within the digital identity, fraud prevention and regulatory technology space. Working with highly regulated organisations, they help customers modernise onboarding, strengthen compliance processes and combat increasingly sophisticated fraud … commercial operation for a high-growth technology business operating at the intersection of digital identity, compliance and financial crime prevention. As identity fraud, synthetic identities and AI-enabled attacks continue to evolve, organisations are increasingly investing in technologies that improve trust, security and customer onboarding experiences. This role will ...

join as a Principal Engineer where you will drive technical excellence and innovation by leading the design and implementation of robust software solutions. Turn fraud, credit risk, financial crime, compliance and regulatory needs into clear technology requirements. Provide mentorship to engineering teams, foster cross‐functional collaboration, and contribute … driven architectures, microservices, streaming technologies, APIs, and real‐time processing at enterprise scale. Hands‐on expertise developing mission‐critical risk platforms supporting credit risk, fraud detection, underwriting, KYC/KYB, AML, Financial Crime, customer onboarding, and real‐time decision management. Experience operationalising AI/ML solutions, including model ...

operational background who is unusually good at getting to the bottom of a problem and making something happen. You will take full ownership of fraud and complaints at Lendable (US). Understanding how things work today, identifying what needs to change, and leading the work that fixes it. … alongside building the processes and tools that reduce how much of it there is. Your impact Own the function end-to-end Embed into fraud and complaints operations, map current processes, and redesign them from first principles. Identify what can be automated, what needs better tooling, and where ...

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 … side and can hit the ground running. Strong Python or R for modelling and analytics Expert-level SQL, comfortable querying large datasets quickly Ideally fraud analytics experience, or someone who can think through it quickly from first principles Data enrichment experience, or someone who approaches new problems with fresh ...

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 … side and can hit the ground running. Strong Python or R for modelling and analytics Expert-level SQL, comfortable querying large datasets quickly Ideally fraud analytics experience, or someone who can think through it quickly from first principles Data enrichment experience, or someone who approaches new problems with fresh ...

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 ...

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 ...

analytics, AI, and automation. You understand data not simply as a technology capability, but as a strategic asset—enabling better policy decisions, operational effectiveness, fraud detection, compliance, and citizen services at scale. Programme, Service & Operating Model Leadership – You will have significant experience in programme, service and/ ...

Dangote Industries Limited is seeking a Principal Data Scientist to lead the data science efforts in Claims, focusing on risk decisioning and fraud detection. This role involves collaborating across product and engineering teams to design and implement machine learning and Generative AI solutions that improve claims processes. The ideal ...

London, UK, is seeking a Senior Apache Cassandra Engineer to design, build and operate a high-performance NoSQL platform supporting real-time payment and fraud detection systems. Hybrid work arrangement in a regulated financial services environment. You will own data model design, cluster topology, performance tuning, security ...

email accessibleinterviewing@samsara.com or click here if you require any reasonable accommodations throughout the recruiting process. Our Commitment to Authenticity We use Tofu, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows ...

role in designing, building, and operationalising a high-performance Apache Cassandra platform that underpins a real-time payment capture and replay solution for fraud detection.This role requires deep technical expertise in Apache Cassandra, NoSQL data modelling, performance optimisation, and production support within a highly regulated financial services environment. … Instance for Apache Cassandra.Previous experience in Banking, Financial Services, Payments, or Financial Crime platforms.What You'll Be Working OnReal-time payment transaction processing platform.Fraud detection and financial crime systems.High-volume NoSQL data platform.Performance-critical, highly available Cassandra infrastructure.Cross-functional collaboration with architecture, middleware, infrastructure, security, and application teams.Ideal CandidateYou ...