1 to 25 of 37 Remote Fraud Detection Jobs

exciting projects coming up and we've got big growth plans. Want to join us? About the role. We are seeking a highly experiencedFraud Operations Directorto lead Zilch's Fraud, KYC, and Chargeback operations. This role is accountable for the company-wide execution of Zilch's fraud risk framework-as designed by the Credit Risk, Fraud and … Collections Strategy team-delivering operational resilience, customer protection, and measurable performance improvements at scale. The Fraud Operations Director will oversee multi-layered internal teams and external BPO providers, providinginspirational leadership, mentoring, and managementacross fraud detection, KYC, and chargebacks functions. They will partner closely with senior stakeholders across Product, Engineering, Risk, Compliance, Legal, and Operations to embed fraud … and customer experience. This is a high-visibility, executive-facing role that combines strategic influence with operational excellence. The successful candidate will be a seasoned operations leader with deep fraud expertise and a refined leadership skillset with a proven ability to navigate complex challenges across multiple domains. They will motivate and develop high-performing teams, deliver measurable improvements across More ❯

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 Senior 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 - it's about designing and delivering tactical and strategic initiatives that reduce fraud losses, influence policy, and have … a real commercial impact. What You'll Do Own and evolve the fraud detection and prevention strategy for your assigned product line. Use tools like SAS, SQL, or Python to mine and model data, detect trends, and develop fraud rules. Design and implement tactical initiatives to combat emerging fraud types. Translate fraud insights into operational More ❯

AI Finance Consultant (Fraud, Automation and ERP Transformation) Are you an experienced AI specialist with a strong finance background? Do you have a proven track record delivering AI solutions that improve fraud detection, automate financial processes and drive measurable business outcomes? We are partnering with a fast moving, enterprise scale organisation that is investing heavily in AI … can deliver at pace and bring a clear, repeatable delivery playbook. The Opportunity This role sits at the centre of a major transformation programme, focused on: Implementing AI driven fraud detection and prevention Automating financial workflows and approvals Enhancing financial processes (AP, Treasury and FP&A) Building intelligent dashboards and analytical tools Integrating AI capability across enterprise systems … and significant visibility. What You Will Deliver Lead end to end AI implementation across finance Deploy a proven AI delivery playbook and repeat it successfully Design, build and deliver fraud detection solutions Improve financial controls and operational efficiency Build dashboards and insights that support decision-making Integrate AI capability with systems such as NetSuite, Kyriba, etc Influence and More ❯

AI Finance Consultant (Fraud, Automation and ERP Transformation) Are you an experienced AI specialist with a strong finance background? Do you have a proven track record delivering AI solutions that improve fraud detection, automate financial processes and drive measurable business outcomes? We are partnering with a fast moving, enterprise scale organisation that is investing heavily in AI … can deliver at pace and bring a clear, repeatable delivery playbook. The Opportunity This role sits at the centre of a major transformation programme, focused on: Implementing AI driven fraud detection and prevention Automating financial workflows and approvals Enhancing financial processes (AP, Treasury and FP&A) Building intelligent dashboards and analytical tools Integrating AI capability across enterprise systems … and significant visibility. What You Will Deliver Lead end to end AI implementation across finance Deploy a proven AI delivery playbook and repeat it successfully Design, build and deliver fraud detection solutions Improve financial controls and operational efficiency Build dashboards and insights that support decision-making Integrate AI capability with systems such as NetSuite, Kyriba, etc Influence and More ❯

strategy, and providing direction, leadership and subject matter expertise. As part of the Product Conformance Monitoring team within Payment Services, this role will be responsible for the development of Fraud detection capabilities and E2E operating model strategies for Citi Payments (corporate and institutional clients). The overall objective of this role is to develop the required capabilities to … ensure Citi is meeting its Fraud-related Regulatory obligations, internal policy requirements and to monitor our Clients' adherence to Risk appetite, in turn supporting the continued growth of the Payments organisation. What you'll do Serve as Business Owner of the Business Fraud Monitoring program Define and executing Citi Payments fraud detection strategy Provide authoritative subject … matter expertise on wholesale payment fraud typologies Drive the end-to-end design of the fraud detection services, encompassing data ingestion, rule engine logic, machine learning models, alert generation, case management, and integration points with existing Citi platforms and external systems. Lead and influence cross-functional teams across Technology, Operations, Product, Legal, Compliance, and other Risk functions More ❯

This newly created role represents a fantastic opportunity for an experienced systems-based Financial Crime Analyst to make a real impact in strengthening the first line of defence against fraud and financial crime within a FTSE 500 financial services provider. The role will play a pivotal part in enhancing detection, prevention, and reporting capabilities across multiple Financial Crime … with analytical insight to help identify emerging threats, optimise system performance, and ensure controls remain robust, efficient, and compliant. Key Responsibilities Lead and support the development and optimisation of fraud detection and prevention strategies across all Financial Crime systems. Interrogate and analyse large and complex data sets using advanced SQL and data management tools to uncover patterns, trends … and anomalies. Develop, track, and report on key fraud metrics, presenting findings and recommendations to senior stakeholders. Design and implement data models and machine learning scoring models to drive predictive insights and enhance fraud detection accuracy. Optimise and fine-tune Financial Crime system rule sets in line with risk appetite, balancing risk mitigation with operational efficiency. Collaborate More ❯

you to join our success story! As our Technical Lead for the AWS Engineering team, you will be responsible for:- Leading the design, development, and deployment of a bespoke fraud detection and transaction monitoring system. Collaborating with a variety of stakeholders and financial crime experts globally to define a technical vision and strategy for the platform. Architecting scalable … in-house and third-party tools. Ensuring high code quality and engineering best practices through code reviews, mentoring, and technical guidance. Owning and evolving the technical design of core fraud detection components. Driving continuous improvement in team processes, tooling, and development workflows. Coaching and supporting engineers in their technical growth, fostering a culture of learning and continuous improvement. … and PySpark (data pipelines, APIs, automation) TypeScript and React (frontend development) Excellent communication and stakeholder management skills. Demonstrated expertise in technical design and architecture of distributed systems. Familiarity with fraud detection models, anomaly detection, and rule-based systems. Clear understanding of secure coding practices and data privacy principles. Exposure to CI/CD pipelines and infrastructure-as More ❯

you to join our success story! As our Technical Lead for the AWS Engineering team, you will be responsible for:- Leading the design, development, and deployment of a bespoke fraud detection and transaction monitoring system. Collaborating with a variety of stakeholders and financial crime experts globally to define a technical vision and strategy for the platform. Architecting scalable … in-house and third-party tools. Ensuring high code quality and engineering best practices through code reviews, mentoring, and technical guidance. Owning and evolving the technical design of core fraud detection components. Driving continuous improvement in team processes, tooling, and development workflows. Coaching and supporting engineers in their technical growth, fostering a culture of learning and continuous improvement. … and PySpark?(data pipelines, APIs, automation) TypeScript and React?(frontend development) Excellent communication and stakeholder management skills. Demonstrated expertise in technical design and architecture of distributed systems. Familiarity with fraud detection models, anomaly detection, and rule-based systems. Clear understanding of secure coding practices and data privacy principles. Exposure to CI/CD pipelines and infrastructure-as More ❯

Business Unit: COO, Fraud Analytics Salary range: up to circa £45,000 per annum DOE + Benefits Location: UK Hybrid - Glasgow/Gosforth Contract type : Full-time permanent Our Team You'll be joining the Plastics Fraud Analytics team, who are responsible for the plastics fraud strategies across all products. What this means in layman's terms … is monitoring, identifying and preventing fraudulent transactional activity across our Debit and Credit portfolios by utilising fraud tools to implement strategies and engaging with stakeholders to identify best practices. What you'll be doing Optimising and monitoring performance of fraud detection and prevention systems and associated models. Configuring fraud systems to manage fraud risk within … appetite and budget. Being part of an innovative fraud analytics team that tune fraud defences to prevent fraud, while balancing operational impact and genuine customer interventions. Completing analytics as directed to support the setting and on-going reporting and management of the Fraud loss budget. Producing accurate and relevant fraud MI required by governance committees More ❯

Business Unit: COO, Fraud Analytics Salary range: £39,200 - £49,000 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 strategies across all products. What this means in 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 Driving application fraud strategy for a specific area of the business … being a point of contact for stakeholders and providing SME input. Optimising and monitoring performance of fraud detection and prevention systems and associated models. Taking the lead for your area's fraud systems to manage fraud risk within appetite and budget. Completing analytics as directed to support the setting and on-going reporting and management of More ❯

We're looking for a Machine Learning Engineer to join a project focused on developing advanced fraud detection and anti-money laundering (AML) analytics for one of our fintech clients. You'll work with data specialists, backend engineers, and product teams to develop scalable ML solutions for real-time fraud prevention. What will you do? Develop and … fine-tune anomaly detection models . Process and prepare data for model training and analysis. Integrate ML models with backend systems (currently using Java and OpenSearch ). Collaborate with domain experts on improving fraud-related detection. Proven experience developing ML models , ideally for anomaly detection. Strong programming skills ( Java , Python , or similar). Experience with data processing and … analytical platforms . Understanding of fraud detection concepts . Familiarity with containerization, CI/CD , and ML infrastructure . English fluency. Nice to have: Background in fraud or AML analytics . Experience with OpenSearch or Elasticsearch clusters. Knowledge of MLOps , model monitoring, or automation. Cloud experience (AWS, Azure, or GCP). Working conditions 1 year contract (B2C More ❯

ideally in the context of A2A payments or other financial transaction systems is a strong plus. Bring experience or gain knowledge to act as a subject matter expert in fraud detection, creditworthiness assessment, and optimising transaction approval rates using advanced DS/ML techniques is a strong plus. Experience Required skills Hands-on experience building and deploying ML … models in Python SQL skills and familiarity with AWS for deployment and data workflows. Strong knowledge of statistical modelling, anomaly detection, clustering, and supervised/unsupervised learning Experience working with large-scale data Proven success collaborating with product and engineering teams to ship ML-based features and tools Strong communication skills and business acumen to present complex technical ideas … of relevant experience, OR equivalent Nice to Have Demonstrated ability to design and validate features using transactional and behavioral data from financial services Proven track record in payment risk, fraud detection, or credit decisioning is strongly preferred Experience with model governance and monitoring in regulated environments Experience with cloud platforms (AWS, GCP, Azure), preferably AWS, ML tools such More ❯

ideally in the context of A2A payments or other financial transaction systems is a strong plus. Bring experience or gain knowledge to act as a subject matter expert in fraud detection, creditworthiness assessment, and optimising transaction approval rates using advanced DS/ML techniques is a strong plus. Experience Required skills Hands-on experience building and deploying ML … models in Python SQL skills and familiarity with AWS for deployment and data workflows. Strong knowledge of statistical modelling, anomaly detection, clustering, and supervised/unsupervised learning Experience working with large-scale data Proven success collaborating with product and engineering teams to ship ML-based features and tools Strong communication skills and business acumen to present complex technical ideas … of relevant experience, OR equivalent Nice to Have Demonstrated ability to design and validate features using transactional and behavioral data from financial services Proven track record in payment risk, fraud detection, or credit decisioning is strongly preferred Experience with model governance and monitoring in regulated environments Experience with cloud platforms (AWS, GCP, Azure), preferably AWS, ML tools such More ❯

innovator to recruit a Principal Data Scientist for a flagship digital banking transformation programme. This role is pivotal in developing advanced machine learning solutions that enhance credit risk modelling, fraud detection, and personalised financial services for millions of customers. The Opportunity You will lead the design and deployment of AI-driven systems that power real-time decision-making … engineering and product leaders. Key Responsibilities Drive end-to-end delivery of data science solutions for digital banking and risk analytics use cases. Build predictive models for credit risk, fraud prevention, and customer behaviour using cutting-edge ML techniques. Partner with product teams to embed intelligent decision engines into core banking workflows. Define best practices for model governance, explainability … ideally within financial services or fintech. Strong expertise in Python, ML frameworks, and cloud-based data platforms (AWS, Azure, or GCP). Proven track record in credit risk modelling, fraud analytics, or similar financial domains. Familiarity with big data technologies (Spark, Hive) and MLOps practices for production-scale deployments. Excellent communication skills to engage stakeholders and simplify complex concepts. More ❯

innovator to recruit a Principal Data Scientist for a flagship digital banking transformation programme. This role is pivotal in developing advanced machine learning solutions that enhance credit risk modelling, fraud detection, and personalised financial services for millions of customers. The Opportunity You will lead the design and deployment of AI-driven systems that power real-time decision-making … engineering and product leaders. Key Responsibilities Drive end-to-end delivery of data science solutions for digital banking and risk analytics use cases. Build predictive models for credit risk, fraud prevention, and customer behaviour using cutting-edge ML techniques. Partner with product teams to embed intelligent decision engines into core banking workflows. Define best practices for model governance, explainability … ideally within financial services or fintech. Strong expertise in Python, ML frameworks, and cloud-based data platforms (AWS, Azure, or GCP). Proven track record in credit risk modelling, fraud analytics, or similar financial domains. Familiarity with big data technologies (Spark, Hive) and MLOps practices for production-scale deployments. Excellent communication skills to engage stakeholders and simplify complex concepts. More ❯

Personalisation: Tailoring game content, recommendations, and user journeys. Predictive Analytics: Forecasting user behaviour, churn, and engagement patterns. Content Generation: Exploring generative AI for dynamic game elements or marketing assets. Fraud Detection/Responsible Gaming: Enhancing platform security and player welfare through intelligent systems. Data & Insights: Collaborate with data scientists and product teams to integrate AI models, manage data More ❯

As a Machine Learning Engineer, you'll work alongside passionate experts to help our clients unlock the full potential of their data. From advancing cancer research to real-time fraud detection and electricity grid optimization, we work on projects that make a difference. Our culture thrives on curiosity, shared ownership, and the courage to challenge assumptions. We value More ❯

analytics. Adept at working with 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, NLP, Time-Series Forecasting Data Engineering More ❯

the world's leading telecommunications companies. Our mission is to restore trust in voice communication by building a network-native intelligence layer to combat the global epidemic of voice fraud and AI-driven scams. This is a rare opportunity to be a foundational hire, shaping the future of a product designed to protect hundreds of millions of users. We … are building two core products: the Telco-Verified Security Shield (our primary, pre-call fraud detection) and the Personal Welcome Manager (our premium, AI-powered call screening experience). As the Senior Android Engineer for the Welcome Manager, you are the User-Facing Owner of our AI innovation showcase. This isn't just another UI/UX role More ❯

projects could include: Establishing the foundation for product analytics at Tempcover, including event tracking, platform insights, and user behaviour analysis Investigating customer segments and behaviours to support pricing, targeting, fraud-detection and product development decisions Modelling and tracking customer return behaviour across products and platforms Analyzing and improving digital marketing and consumer journeys across our businesses Designing and More ❯

work directly impacting how millions of 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 the future of Ireland … and partner with senior commercial 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, and identity/account management … Applied AI & ML Understanding: Appetite for leveraging AI tools to improve productivity, decision-making, and insight generation. Familiarity with machine learning and LLM-based products-whether through recommendation systems, fraud detection models, or conversational user experiences is a bonus. Agile Experience: Skilled in working with cross-functional teams in an Agile environment, balancing rapid iteration with long-term More ❯

Platform Modernisation – transforming legacy estates into scalable, cloud-native data platforms that accelerate innovation and reduce time-to-market. AI & Advanced Analytics – deploying machine learning and generative AI for fraud detection, risk modelling, hyper-personalised experiences, and intelligent document processing. Responsible AI & Governance – designing frameworks to ensure AI adoption is safe, compliant, and trusted by regulators and customers. More ❯

Platform Modernisation – transforming legacy estates into scalable, cloud-native data platforms that accelerate innovation and reduce time-to-market. AI & Advanced Analytics – deploying machine learning and generative AI for fraud detection, risk modelling, hyper-personalised experiences, and intelligent document processing. Responsible AI & Governance – designing frameworks to ensure AI adoption is safe, compliant, and trusted by regulators and customers. More ❯

designing and implementing Quantexa solutions for clients. Technical excellence in Scala, Python and Databricks Skills we’d love to see/Amazing Extras: Experience delivering Quantexa in Financial Services, Fraud Detection, AML, or KYC domains. Exposure to DevOps and CI/CD pipelines, including tools such as Jenkins, GitHub Actions, or Azure DevOps. Familiarity with containerisation technologies like More ❯

designing and implementing Quantexa solutions for clients. Technical excellence in Scala, Python and Databricks Skills we’d love to see/Amazing Extras: Experience delivering Quantexa in Financial Services, Fraud Detection, AML, or KYC domains. Exposure to DevOps and CI/CD pipelines, including tools such as Jenkins, GitHub Actions, or Azure DevOps. Familiarity with containerisation technologies like More ❯