12 of 12 Remote Fraud Detection Jobs

Financial Crime Data & Systems Analyst, you will play a critical role in preventing financial crime by designing, maintaining, and optimising transaction monitoring and fraud detection rules. You will combine strong financial crime expertise with data-driven analysis to protect customers, meet regulatory expectations, and continuously improve control effectiveness. … will work closely with Financial Crime, Product, Data, and Technology teams. Your insight will help translate complex financial crime risks into practical, scalable detection solutions. Key Responsibilities Design, implement, and maintain transaction monitoring and fraud detection rules aligned to regulatory requirements and risk appetite. Conduct data ...

Northampton (Hybrid) 6 months UMBRELLA ONLY Project Objective: A key initiative involves migrating from Aerospike to Postgres and leveraging Databricks for back-testing fraud detection models. This role will contribute to the development and integration of Proof of Concepts (PoCs) from the detection backlog. Key Responsibilities: Collaborate … with cross-functional teams to architect, design, develop and deliver PoCs related to fraud detection. Lead the ETL & Data manipulation/engineering work on AWS . Integrate Databricks-based back-testing into the fraud detection pipeline. Work closely with architects and other developers to ensure seamless integration ...

Business Unit: Customer Service and Operations, Fraud Analytics Salary range: £39,200 - £49,000 per annum Location: UK Hybrid with occasional travel to local hub Contract type : Permanent full time Our Team Our team sits at the heart of protecting our customers and the bank, combining sharp analytical thinking … with real-world impact. We're a curious, collaborative group who thrive on solving complex problems and staying ahead of emerging fraud threats. What makes us special is our culture of innovation and ownership — we don't just react, we shape the future of fraud prevention. ...

insurance-specific client outcomes and the firm s long-term AI engineering capability. As demand accelerates across claims automation, underwriting decision support, policy servicing, fraud detection, compliance and operational efficiency, the consulting practice is expanding its engineering capability across agentic systems, retrieval, ontologies and AI-enabled execution within … feasible AI architectures Assess client data maturity, policy document quality, legacy platforms and security constraints Shape use cases across claims leakage reduction, underwriting efficiency, fraud detection and compliance automation Work directly with insurance SMEs to surface edge cases, exceptions, regulatory nuances and operational realities Produce clear, concise technical ...

join a growing data team. This is a key role within a large-scale data portfolio, supporting critical programmes focused on revenue optimisation, fraud detection, data management and analytics. The successful candidate will play a hands-on role in designing, building and supporting robust SAS-based data solutions … include: Designing and delivering secure, high-performance SAS solutions for data integration and analytics Building and enhancing data pipelines covering ingestion, transformation, reporting and fraud detection Supporting live services, incident resolution and continuous improvement Collaborating in Agile delivery teams and contributing to engineering best practice Key skills ...

join a growing data team. This is a key role within a large-scale data portfolio, supporting critical programmes focused on revenue optimisation, fraud detection, data management and analytics. The successful candidate will play a hands-on role in designing, building and supporting robust SAS-based data solutions … include: Designing and delivering secure, high-performance SAS solutions for data integration and analytics Building and enhancing data pipelines covering ingestion, transformation, reporting and fraud detection Supporting live services, incident resolution and continuous improvement Collaborating in Agile delivery teams and contributing to engineering best practice Key skills ...

Newcastle Competitive £550/day rate, Outside IR35 Opportunity to work within a mature agile and GDS-aligned environment Add real value to fraud detection + prevention services (experience in this domain highly advantageous) What You'll Be Doing Defining and leading product vision, roadmap, and delivery … with wider programme goals Engaging with stakeholders across multiple levels to ensure clarity, alignment, and momentum Supporting the development of products that help improve fraud detection and prevention (a major bonus if you've worked in this space before) What We're Looking For Strong background ...

deploy and how to explain complex non-linear and generative AI. Current Areas of Focus: Affordability, income and expenditure analysis, credit risk, and fraud detection, with excellence in Entity Resolution – tying together disparate consumer data into a holistic view. Your work will directly help traditionally underserved consumers … highlighting potential risks from others. Responsibilities Predictive Modelling (Linear & Non-Linear): You will build and maintain foundational Linear Regression models for credit, affordability, and fraud scoring, while developing advanced XGBoost models for deeper risk insights. You will mine data to find behavioural signals—such as spending volatility or income ...

statistics, or computer science. Proven record of implementations in the prototyping, development, and productionizing of machine learning solutions, particularly in banking applications such as fraud detection and credit risk. Deep, hands-on experience with a variety of modeling techniques, including: Classification models: (e.g., CatBoost, XGBoost, LightGBM) Regression models … e.g., CatBoost, XGBoost, LightGBM) Time Series Analysis: (e.g., ARIMA, SARIMA, Prophet) Unsupervised Models: (e.g., clustering, anomaly detection such as Isolation Forest) Strong programming skills, specifically in Python and SQL. Basic infrastructure knowledge is needed (e.g., microservices, Docker/containers, CI/CD, GitHub Actions). Foundational knowledge of Deep ...

Software Engineer with Golang/Go development experience? You could be progressing your career working on bleeding edge, Machine Learning and AI powered, audio fraud detection software used by all UK banks, the emergency services and a range of other clients to prevent and detect fraudulent call activities. ...

workflows, risk data ingestion and broker submission processing Implement intelligent document processing for slips, endorsements, claims notifications and bordereaux Deploy AI-powered claims triage, fraud detection and exception handling workflows Support digital trading and delegated authority process optimisation AI-Driven Innovation Embed LLMs, NLP, classification models and vision ...

Next.js), Python (FastAPI), Node.js Infrastructure: Google Cloud Platform, Vercel Architecture: Monorepo with shared internal packages AI & Automation: Production AI features focused on claims automation, fraud detection, and pricing models What They're Looking For Strong commercial experience as a Senior Software Engineer in product-led environments Backend-leaning ...