1 to 25 of 44 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 ❯

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: 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 ❯

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 ❯

two-year programme blends office and home working. Across three eight-month placements, you'll 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 and solving complex problems with … the UK — using everything from 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 using Apache Spark, Vertex AI 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 ❯

using data science. This position is a vital component of the business, and is responsible for: Responsibilities Develop, train, and deploy machine learning models for risk scoring, behavioural analytics, fraud detection and extreme event detection. Optimize feature engineering, model performance, and real-time inference pipelines for large-scale datasets. Work on supervised, unsupervised, and reinforcement learning models to More ❯

In a world where fraud detection and compliance are often reactive and fragmented, Synectics is transforming how organisations identify and manage risk. We turn disconnected risk signals into trusted, explainable decisions at scale-empowering clients to act with confidence and integrity. Built on 30 years of data-driven innovation, our success lies in collective defence-uniting cross sector … insight, collaboration, and cutting edge analytics to protect organisations and the public from fraud and financial crime. We're trusted by some of the UK's most important public and private sector institutions and are shaping the future of AI integrity, identity verification, and regulatory resilience. Why Join Us Be part of a major data transformation initiative Work in … residency criteria Synectics will support successful candidates through the clearance process. Ready to Lead the Future of Data Integrity? Join us in shaping the future of trusted data and fraud prevention. Apply today to lead, innovate, and make an impact at Synectics Solutions. More ❯

help them develop into a well-rounded team member. As a Data Scientist intern , you’ll have the opportunity to use global data from the largest real-time digital fraud detection platform to craft solutions for a range of customers. You’ll experience how to leverage real-time digital identity intelligence, analyzing billions of transactions per month for … skills with advanced judgment capability is needed; Analytical problem solver: Strong analytical and problem solving skills are required to solve the challenges facing our customers in an ever changing fraud and risk landscape - numerical degree required; Enthusiastic Team Player : We are looking for a candidate who is comfortable working in a collaborative and inclusive team environment. Data evangelist : you More ❯

help them develop into a well-rounded team member. As a Data Scientist intern , you’ll have the opportunity to use global data from the largest real-time digital fraud detection platform to craft solutions for a range of customers. You’ll experience how to leverage real-time digital identity intelligence, analyzing billions of transactions per month for … skills with advanced judgment capability is needed; Analytical problem solver: Strong analytical and problem solving skills are required to solve the challenges facing our customers in an ever changing fraud and risk landscape - numerical degree required; Enthusiastic Team Player : We are looking for a candidate who is comfortable working in a collaborative and inclusive team environment. Data evangelist : you More ❯

years’ experience with transaction and merchant monitoring. Our client, a dynamic and rapidly growing UK-based FinTech company, is seeking an experienced Transaction Monitoring Analyst to join their internal fraud and AML team. This is a unique opportunity to lead a small but critical function at the forefront of financial crime prevention. As a senior analyst, you will be … to the continuous improvement of the team's processes and systems. Duties of the Transaction Monitoring Analyst to include: Complex Case Investigation: Conduct in-depth investigations into high-risk fraud and money laundering alerts, using advanced analytical techniques and open-source intelligence to build comprehensive case narratives. SAR Preparation: Draft and finalize thorough Suspicious Activity Reports (SARs) for regulatory … to the refinement of internal policies and procedures. Requirements for the successful Transaction Monitoring Analyst to include: Candidates must have 3-5+ years of hands-on experience in fraud detection, transaction monitoring, or AML compliance within financial services, with a proven track record of handling both fraud and AML investigations from start to finish. Experience drafting 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 ❯

Mitek(NASDAQ: MITK) is a global leader in digital & biometric identity authentication, fraud prevention, and mobile deposit solutions. Our verified identity platform and advanced image capture solutions are built on the latest advancements in biometric recognition, artificial intelligence, computer vision and machine learning, and trusted by over 7,500 organizations worldwide. We are headquartered in San Diego, California, with … proactive, trusted advisors, they anticipate challenges, surface opportunities, and help drive satisfaction, renewal, and expansion. Rooted in Mitek's purpose-protecting what's real in a world fraught with fraud and evolving threats-CSMs embody this mission in every interaction. They build trusted partnerships through a strategic, high touch approach for our enterprise customers, while leveraging scalable, data driven … within the UK or EU for customer and team collaboration, up to 20% of the time. What would be nice (preferred skills & experience) Experience with Mitek technology or similar fraud detection and IDV (Identity Verification) platforms. Working knowledge of Tableau or other BI tools to analyze and present customer and operational data. Knowledge of Totango or similar Customer 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 ❯