1 to 25 of 34 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 ❯

a real impact. Job Overview Are you looking for a career move that will put you at the heart of a global financial institution? Then bring your skills in Fraud risk management and Payments to Citi's Payment Services team. By Joining Citi, you will become part of a global organisation whose mission is to serve as a trusted … 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 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 ❯

relevant current funded/awarded openings, if available. Position Overview: AI/Analytics Platform Data Scientists are responsible for leveraging AI and data analytics to detect, prevent, and investigate fraud and other crimes. Their job responsibilities include: Develop and implement predictive models and machine learning algorithms to identify patterns. Use AI/analytics platforms to analyze complex and large … to identify potential fraudulent activities. Apply graph data science techniques to uncover hidden relationships and detect fraudulent networks. Utilize Neo4j and other graph databases to model complex relationships in fraud/criminal investigations. Develop fraud detection models leveraging network analytics, link prediction, and anomaly detection in transaction data. Collaborate with law enforcement, regulatory bodies, and other … and presentations for senior management and other stakeholders. Position Requirements: Python (Jupyter Notebook) AI/ML models for NLP Entity Resolution Link Analysis Graph data science and Neo4j for fraud detection and AML Data visualization and modeling Clearance Required: Current Secret required Must reside in the DC Metro area and be able to attend regularly scheduled in-person More ❯

Senior Product Manager - Fraud Prevention Hybrid | London | £80,000-£85,000 + 10% Bonus + Benefits Permanent | Full-time | 1 Month Notice Max We're working with a fast-evolving SaaS company that's transforming how fraud is tackled in contact centres. Originally rooted in the telecoms space, they've spent the last 7-8 years building cutting … edge, API-first products that now protect tens of thousands of users, including the UK's top 10 retail banks. Their fraud detection platform is scaling rapidly, and they're looking for a Senior Product Manager to help drive its next phase of growth. This is a high-impact role where you'll shape the roadmap, explore new … airlines), and work closely with a talented technical team to deliver secure, scalable solutions. What You'll Be Doing Lead the product strategy and roadmap for a high-performing fraud detection platform Collaborate with engineers, researchers, and stakeholders to build and evolve the product Drive customer-facing discovery to understand real-world problems and translate them into product More ❯

uncover trends and patterns that inform our business strategy. Your insights will play a key role in shaping decisions across various business areas, including marketing, sales, claims, customer retention, fraud detection, and customer servicing. As a Data Scientist, you'll collaborate closely with cross-functional teams, including product management and engineering, to identify an integrate your findings into … trends in data, providing insights to inform business strategy and decision-making. Develop predictive models to support decisions across multiple business areas, including marketing, sales, claims, retention, customer behavior, fraud detection, and customer servicing. Deploy machine learning models into production using AWS services, including SageMaker, S3, Feature Store, ensuring scalable, reliable, and monitored solutions that directly support key More ❯

relevant financial regulations and privacy laws. Key responsibilities include overseeing the design, development, and deployment of generative AI models tailored to financial services use cases, such as algorithmic trading, fraud detection, risk management, customer personalization, and regulatory compliance. As a team leader, you will recruit, mentor, and manage a high-performing group of AI specialists, fostering a culture … or insurance). Deep expertise in generative AI technologies, including GPT, Transformers, DALL·E, Stable Diffusion, DRL, and LLMs. Strong knowledge of financial services applications such as algorithmic trading, fraud detection, risk analytics, and regulatory compliance. Proven success in building and leading AI teams, and delivering complex, high-impact AI solutions. Experience with cloud-based AI platforms (AWS More ❯

following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position. The Senior Data Scientist - Fraud Identity Analytics is responsible for development and implementation of quantitative solutions that improve USAAs ability to detect and prevent identity theft, account takeover, and first party/synthetic fraud. … emanating from these threats. Strong candidates will be able to deploy the following work products and processes: Develop and continuously update internal identity theft and authentication models to mitigate fraud losses and negative member experience from fraud application, synthetic fraud and account takeover attempts Closely partner with Strategies team, Director of Fraud Identity Analytics and Director … of Fraud Model Management and Model Users on model builds and priorities Partner with Technology and other key collaborators to deploy a Financial Crimes graph database strategy, including vendor selection, business requirements, data needs, and clear use cases spanning financial crimes Deploy graph databases and graph techniques to identify criminal networks engaging in fraud, scams, disputes/claims More ❯

the credit risk roadmap and assist in prioritising tasks to ensure successful delivery. Key Responsibilities Model Development and Implementation Develop predictive models across key areas such as credit decisioning, fraud detection, and customer segmentation. Ensure data integrity and quality through robust validation and auditing processes. Evaluate and document scorecard effectiveness, monitoring performance to ensure ongoing relevance and compliance. More ❯

the credit risk roadmap and assist in prioritising tasks to ensure successful delivery. Key Responsibilities Model Development and Implementation Develop predictive models across key areas such as credit decisioning, fraud detection, and customer segmentation. Ensure data integrity and quality through robust validation and auditing processes. Evaluate and document scorecard effectiveness, monitoring performance to ensure ongoing relevance and compliance. More ❯

the credit risk roadmap and assist in prioritising tasks to ensure successful delivery. Key Responsibilities Model Development and Implementation Develop predictive models across key areas such as credit decisioning, fraud detection, and customer segmentation. Ensure data integrity and quality through robust validation and auditing processes. Evaluate and document scorecard effectiveness, monitoring performance to ensure ongoing relevance and compliance. More ❯

the credit risk roadmap and assist in prioritising tasks to ensure successful delivery. Key Responsibilities Model Development and Implementation Develop predictive models across key areas such as credit decisioning, fraud detection, and customer segmentation. Ensure data integrity and quality through robust validation and auditing processes. Evaluate and document scorecard effectiveness, monitoring performance to ensure ongoing relevance and compliance. More ❯

the credit risk roadmap and assist in prioritising tasks to ensure successful delivery. Key Responsibilities Model Development and Implementation Develop predictive models across key areas such as credit decisioning, fraud detection, and customer segmentation. Ensure data integrity and quality through robust validation and auditing processes. Evaluate and document scorecard effectiveness, monitoring performance to ensure ongoing relevance and compliance. More ❯

some of the most dynamic and complex markets in the world. This is a chance to build high-performance, low-latency, and cloud-native systems while tackling challenges in fraud detection, data engineering, and market integrity . What you'll do Design, implement, and optimise algorithms for detecting manipulation, fraud, and compliance breaches in real-time and More ❯

impact on key product and business metrics. Our Machine Learning Scientists collaborate in cross-functional squads across Data, Engineering, Product, and Risk, tackling a broad range of issues including fraud detection and prevention, transaction monitoring for various suspicious activities, customer risk assessment, and operational tooling. About our Machine Learning Team for Personalisation: Personalisation is central to Monzo's … be the one of the most senior Individual Contributor (IC) Machine Learning Scientist. This will give you a real opportunity to lead us into an exciting new phase of fraud and financial crime prevention, utilising billions of rows of data and the learnings from your previous successes in designing and building advanced Machine Learning based systems for topics like … personalisation, demand forecasting, workforce management, detection systems. We're talking about Deep Learning, Graph neural networks, transformers - you'll have space to design the architecture that will help us take our real time systems to the next level. As our most senior technical IC, you'll be providing key technical leadership and shipping highly impactful ML-based solutions. You 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 ❯

when it's gathered from disparate sources. We need an experienced data engineer like you to help our clients find answers in their data to impact important missions-from fraud detection to cancer research to national intelligence. As a Data Engineer with us, you'll help build advanced technology solutions and implement data engineering activities on some of 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 ❯

Senior Product Manager - Fraud Location: Hybrid (2 days/week in Central London) Salary: Up to £85,000 + up to 10% bonus Type: Permanent, Full-time We're working with a fast-growing SaaS company that's transforming how organisations protect their customers from fraud. With a strong telecoms heritage and a cutting-edge AI-powered platform, their … fraud prevention solutions are trusted by the UK's top 10 retail banks and they're now expanding into new sectors like insurance and airlines. This is your opportunity to join a high-impact team as a Senior Product Manager, helping scale a flagship API product that's already delivering real-world results. Responsibilities: Own and evolve the product … strategy and roadmap for a fraud-focused API product Lead a cross-functional team of engineers and researchers to deliver scalable, secure solutions Work directly with customers to understand their fraud challenges and shape the product accordingly Translate ambiguous problems into structured, data-informed product decisions Use basic SQL to self-serve insights and validate hypotheses Drive commercial More ❯

Senior Product Manager - Fraud Location: Hybrid (2 days/week in Central London) Salary: Up to £85,000 + up to 10% bonus Type: Permanent, Full-time We're working with a fast-growing SaaS company that's transforming how organisations protect their customers from fraud. With a strong telecoms heritage and a cutting-edge AI-powered platform, their … fraud prevention solutions are trusted by the UK's top 10 retail banks and they're now expanding into new sectors like insurance and airlines. This is your opportunity to join a high-impact team as a Senior Product Manager, helping scale a flagship API product that's already delivering real-world results. Responsibilities: Own and evolve the product … strategy and roadmap for a fraud-focused API product Lead a cross-functional team of engineers and researchers to deliver scalable, secure solutions Work directly with customers to understand their fraud challenges and shape the product accordingly Translate ambiguous problems into structured, data-informed product decisions Use basic SQL to self-serve insights and validate hypotheses Drive commercial 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 ❯

requirements and user stories, working closely with product owners, and facilitating Agile ceremonies. This individual will also demonstrate comfort interacting with stakeholders in mission-driven environments, including financial systems, fraud management platforms, and law enforcement applications. Position Requirements: Required Clearance: MUST HAVE AN ACTIVE SECRET CLEARANCE ; an ACTIVE TOP SECRET is PREFERRED Required Education: Bachelor's Degree Required, Master … and technical solutions. Required Skills: 37+ years of experience as a Business Analyst supporting Agile software development teams. Proven experience gathering and documenting requirements for systems involving financial operations, fraud detection, or law enforcement domains. Strong understanding of Agile/Scrum methodologies and backlog management best practices. Excellent communication and stakeholder engagement skills. Collaborate with law enforcement, regulatory More ❯

BI Comfortable owning roadmap-facing insights Cross-functional communicator – especially with non-technical teams Nice to Have: Experience with freemium models or conversion funnels Familiarity with Trust & Safety or fraud detection signals Background in social platforms or dating apps a bonus Why You’ll Thrive Here Direct line to product decisions Truly collaborative global team Freedom to own More ❯

BI Comfortable owning roadmap-facing insights Cross-functional communicator – especially with non-technical teams Nice to Have: Experience with freemium models or conversion funnels Familiarity with Trust & Safety or fraud detection signals Background in social platforms or dating apps a bonus Why You’ll Thrive Here Direct line to product decisions Truly collaborative global team Freedom to own More ❯