10 of 10 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 ...

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 ...

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 ...

location and experience) Hybrid working policy : 2 days/week in-office (London/Manchester) High-impact work : Shape the future of ad fraud detection and optimization. Fast growth : Join a scale-up with a clear trajectory and work with cutting-edge ML and big data. Twice-weekly ...

location and experience) Hybrid working policy : 2 days/week in-office (London/Manchester) High-impact work : Shape the future of ad fraud detection and optimization. Fast growth : Join a scale-up with a clear trajectory and work with cutting-edge ML and big data. Twice-weekly ...

days The Role The AI Engineer will spearhead AI-driven innovation across insurance, annuities, and retirement solutions, focusing on risk modeling, claims automation, fraud detection, customer engagement, and personalized retirement planning. This role ensures the development and deployment of AI solutions that improve operational efficiency, regulatory compliance ...

individuals in Ireland connect and transact online. You'll own some of the most important parts of our marketplace: user trust and safety, fraud prevention, user accounts, ad creation, private seller monetisation, and provide support and tooling for our world-class CX team. Put simply: you'll be building … leaders to grow key business and product KPIs. Defining Product Vision & Strategy: Craft and communicate a clear product strategy that builds user trust, prevents fraud, drives monetisation, and makes transacting simple and enjoyable for millions of private users. Building Trust & Safety: Lead initiatives in fraud prevention, ad quality ...

/CD, containerisation, and infrastructure-as-code Desirable/Nice to Have: • Neo4j Certified Professional or Advanced Certification • Experience with real-time analytics, fraud detection, recommendations, or network analysis • Knowledge of Kubernetes, Terraform, or Pulumi • Exposure to event streaming (Kafka, Pub/Sub) • Prior experience with regulated industries ...

/CD, containerisation, and infrastructure-as-code Desirable/Nice to Have: • Neo4j Certified Professional or Advanced Certification • Experience with real-time analytics, fraud detection, recommendations, or network analysis • Knowledge of Kubernetes, Terraform, or Pulumi • Exposure to event streaming (Kafka, Pub/Sub) • Prior experience with regulated industries ...

premise infrastructure and blending legacy data platforms with modern data architecture Knowledge of insurance specific analytics would be a bonus (such as fraud detection etc) Experience with ETL Tools, Altair Analytics Workbench would be preferred If this sounds of interest please apply using the links below ...