16 of 16 Remote Fraud Detection Jobs

Business Unit: COO, Fraud Analytics Salary range: Up to circa £58,000 per annum DOE + Benefits Location: UK Hybrid - Leeds/Gosforth/Glasgow Contract Type: Permanent full-time Our Team You'll be joining the Application Fraud Analytics team, who are responsible for the application fraud … layman's terms is that the team are responsible for preventing anyone who has had their identity stolen from becoming a victim of fraud at Virgin Money, protecting both customers, non-customers and the bank itself. Do you want to make a difference too? What you'll be doing ...

ethical, and governance standards. AI Model Deployment: Prototype, test, and deploy AI systems for use cases such as market forecasting, customer insights, automated underwriting, fraud detection, and anti-money laundering (AML). Key Technical & Design Responsibilities Agentic & Generative AI Architectures: Build, deploy, and manage agentic AI systems ...

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 ...

office and home working. Across three eight-month placements, youll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, making predictions … Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows ...

office and home working. Across three eight-month placements, youll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, making predictions … Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows ...

office and home working. Across three eight-month placements, youll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, making predictions … Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows ...

This placement blends office and home working. Youll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could be: A Data & AI Scientistuncovering insights, making predictions and solving complex … Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows ...

This placement blends office and home working. Youll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could be: A Data & AI Scientistuncovering insights, making predictions and solving complex … Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows ...

This placement blends office and home working. Youll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could be: A Data & AI Scientistuncovering insights, making predictions and solving complex … Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows ...

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 ...

leadership skills? You could be progressing your career as a Lead Backend Software Engineer, 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 ...

leadership skills? You could be progressing your career as a Lead Backend Software Engineer, 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 an... ZIPC1_UKTJ ...

leadership skills? You could be progressing your career as a Lead Backend Software Engineer, 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 an click apply for full ...

Leadership, based in Europe, Full-Time Who We Are Yuno enables any company to accept all available payment methods and manage fraud detection and prevention through a single integration. Our strength is in our people, founded by a team of experts in the payments and IT industries. Yuno ...

Review of access controls (logical and physical) for systems involved in Money Out processes Assessment of data protection measures (encryption, masking, etc.) Evaluation of fraud detection and prevention mechanisms Review of audit trails and logging capabilities Risk & Compliance Identification of control gaps and vulnerabilities Recommendations for remediation ...