1 to 25 of 45 Remote Fraud Detection Jobs

Senior Expert Fraud Data Analyst Location: Solihull Salary: £45k - £55K Contract Type: Permanent Working Pattern: Full-time/Hybrid (3 office days, 2 work-from-home, Monday – Friday) Note : Candidates MUST come from a Financial Services background. Are you a data-driven fraud specialist who thrives on spotting … patterns, preventing risks, and staying one step ahead of criminals? We’re looking for a Fraud Data Analyst to take a lead role in shaping fraud strategy, implementing cutting-edge prevention techniques, and using your analytical skills to protect millions. This is more than just a reporting role ...

treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity As a Data Scientist II for Fraud, you will be responsible the development of machine learning models that improve USAAs ability to detect and prevent fraud on credit card, debit … areas such as claims and disputes. Strong candidates will be able to deploy the following work products and processes: Develop and continuously update internal fraud models in the transactions and payment space, demonstrating techniques ranging from statistics to highly sophisticated AI/ML techniques, to generate highly significant reduction ...

treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity As a Data Scientist II for Fraud, you will be responsible the development of machine learning models that improve USAAs ability to detect and prevent fraud on credit card, debit … areas such as claims and disputes. Strong candidates will be able to deploy the following work products and processes: Develop and continuously update internal fraud models in the transactions and payment space, demonstrating techniques ranging from statistics to highly sophisticated AI/ML techniques, to generate highly significant reduction ...

treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity As a Data Scientist II for Fraud, you will be responsible the development of machine learning models that improve USAAs ability to detect and prevent fraud on credit card, debit … areas such as claims and disputes. Strong candidates will be able to deploy the following work products and processes: Develop and continuously update internal fraud models in the transactions and payment space, demonstrating techniques ranging from statistics to highly sophisticated AI/ML techniques, to generate highly significant reduction ...

treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity As a Data Scientist II for Fraud, you will be responsible the development of machine learning models that improve USAAs ability to detect and prevent fraud on credit card, debit … areas such as claims and disputes. Strong candidates will be able to deploy the following work products and processes: Develop and continuously update internal fraud models in the transactions and payment space, demonstrating techniques ranging from statistics to highly sophisticated AI/ML techniques, to generate highly significant reduction ...

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 ...

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 ...

users. As a Senior AI/ML Software Engineer, you'll help build the intelligent systems that power this mission - from personalized recommendations and fraud detection to automation and search. This is a fully remote role, working closely with cross-functional teams across regions. You'll join ...

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 ...

large financial datasets, ensuring data quality, and collaborating with cross-functional teams to drive business decisions. Demonstrated success in developing machine learning models for fraud detection, credit scoring, and customer segmentation. Key Skills: Languages/Tools: Python, SQL, PySpark, R, SAS ML/AI: Scikit-learn, TensorFlow ...

Risk Operations team — delivering yourself while also guiding analysts, setting priorities and raising execution quality. Design and implement innovative tools and solutions that improves fraud detection, policy enforcement, chargeback reduction/prevention and agent productivity — ensuring we move from reactive fix work toward proactive, scalable improvements. Identify … address operational inefficiencies, facilitating cross-functional improvements to streamline and enhance risk processes. Drive evaluation, selection and rollout of new risk/fraud technologies and ensure they're operationalised effectively. Analyse complex transactional/behavioural data to extract meaningful patterns — define the right metrics, build dashboards, monitor loss drivers ...

Risk Operations team — delivering yourself while also guiding analysts, setting priorities and raising execution quality. Design and implement innovative tools and solutions that improves fraud detection, policy enforcement, chargeback reduction/prevention and agent productivity — ensuring we move from reactive fix work toward proactive, scalable improvements. Identify … address operational inefficiencies, facilitating cross-functional improvements to streamline and enhance risk processes. Drive evaluation, selection and rollout of new risk/fraud technologies and ensure they're operationalised effectively. Analyse complex transactional/behavioural data to extract meaningful patterns — define the right metrics, build dashboards, monitor loss drivers ...

Risk Operations team — delivering yourself while also guiding analysts, setting priorities and raising execution quality. Design and implement innovative tools and solutions that improves fraud detection, policy enforcement, chargeback reduction/prevention and agent productivity — ensuring we move from reactive fix work toward proactive, scalable improvements. Identify … address operational inefficiencies, facilitating cross-functional improvements to streamline and enhance risk processes. Drive evaluation, selection and rollout of new risk/fraud technologies and ensure they're operationalised effectively. Analyse complex transactional/behavioural data to extract meaningful patterns — define the right metrics, build dashboards, monitor loss drivers ...

Risk Operations team — delivering yourself while also guiding analysts, setting priorities and raising execution quality. Design and implement innovative tools and solutions that improves fraud detection, policy enforcement, chargeback reduction/prevention and agent productivity — ensuring we move from reactive fix work toward proactive, scalable improvements. Identify … address operational inefficiencies, facilitating cross-functional improvements to streamline and enhance risk processes. Drive evaluation, selection and rollout of new risk/fraud technologies and ensure they're operationalised effectively. Analyse complex transactional/behavioural data to extract meaningful patterns — define the right metrics, build dashboards, monitor loss drivers ...

Risk Operations team — delivering yourself while also guiding analysts, setting priorities and raising execution quality. Design and implement innovative tools and solutions that improves fraud detection, policy enforcement, chargeback reduction/prevention and agent productivity — ensuring we move from reactive fix work toward proactive, scalable improvements. Identify … address operational inefficiencies, facilitating cross-functional improvements to streamline and enhance risk processes. Drive evaluation, selection and rollout of new risk/fraud technologies and ensure they're operationalised effectively. Analyse complex transactional/behavioural data to extract meaningful patterns — define the right metrics, build dashboards, monitor loss drivers ...

Risk Operations team — delivering yourself while also guiding analysts, setting priorities and raising execution quality. Design and implement innovative tools and solutions that improves fraud detection, policy enforcement, chargeback reduction/prevention and agent productivity — ensuring we move from reactive fix work toward proactive, scalable improvements. Identify … address operational inefficiencies, facilitating cross-functional improvements to streamline and enhance risk processes. Drive evaluation, selection and rollout of new risk/fraud technologies and ensure they’re operationalised effectively. Analyse complex transactional/behavioural data to extract meaningful patterns — define the right metrics, build dashboards, monitor loss drivers ...

Risk Operations team — delivering yourself while also guiding analysts, setting priorities and raising execution quality. Design and implement innovative tools and solutions that improves fraud detection, policy enforcement, chargeback reduction/prevention and agent productivity — ensuring we move from reactive fix work toward proactive, scalable improvements. Identify … address operational inefficiencies, facilitating cross-functional improvements to streamline and enhance risk processes. Drive evaluation, selection and rollout of new risk/fraud technologies and ensure they're operationalised effectively. Analyse complex transactional/behavioural data to extract meaningful patterns — define the right metrics, build dashboards, monitor loss drivers ...

Risk Operations team — delivering yourself while also guiding analysts, setting priorities and raising execution quality. Design and implement innovative tools and solutions that improves fraud detection, policy enforcement, chargeback reduction/prevention and agent productivity — ensuring we move from reactive fix work toward proactive, scalable improvements. Identify … address operational inefficiencies, facilitating cross-functional improvements to streamline and enhance risk processes. Drive evaluation, selection and rollout of new risk/fraud technologies and ensure they're operationalised effectively. Analyse complex transactional/behavioural data to extract meaningful patterns — define the right metrics, build dashboards, monitor loss drivers ...

Risk Operations team — delivering yourself while also guiding analysts, setting priorities and raising execution quality. Design and implement innovative tools and solutions that improves fraud detection, policy enforcement, chargeback reduction/prevention and agent productivity — ensuring we move from reactive fix work toward proactive, scalable improvements. Identify … address operational inefficiencies, facilitating cross-functional improvements to streamline and enhance risk processes. Drive evaluation, selection and rollout of new risk/fraud technologies and ensure they're operationalised effectively. Analyse complex transactional/behavioural data to extract meaningful patterns — define the right metrics, build dashboards, monitor loss drivers ...

Risk Operations team — delivering yourself while also guiding analysts, setting priorities and raising execution quality. Design and implement innovative tools and solutions that improves fraud detection, policy enforcement, chargeback reduction/prevention and agent productivity — ensuring we move from reactive fix work toward proactive, scalable improvements. Identify … address operational inefficiencies, facilitating cross-functional improvements to streamline and enhance risk processes. Drive evaluation, selection and rollout of new risk/fraud technologies and ensure they're operationalised effectively. Analyse complex transactional/behavioural data to extract meaningful patterns — define the right metrics, build dashboards, monitor loss drivers ...