Fraud Architect Jobs

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Merchant Fraud Analyst We are looking for an ambitious analyst to join our Merchant Fraud team. As part of the Merchant Fraud team in Amsterdam you will be working closely with Compliance, Product and other Merchant Operations teams. As a Merchant Fraud Analyst you will be responsible for identifying, investigating, and preventing fraudulent activities related to our acquiring, banking and issuing services. Your expertise will contribute to maintaining the integrity of our platform and ensuring a secure and trustworthy environment for our users. The Merchant Fraud Team is responsible for detecting and mitigating fraudulent activity, to reduce risk at scale for Adyen and its customers. What you’ll do Monitor and investigate transaction patterns, account activity, and user behavior patterns to detect and mitigate fraudulent activity in real-time. Assist in the development and optimization of fraud detection systems and tools, suggesting improvements and enhancements as needed. Develop and optimize policies and procedures for fraud incident response, root cause analysis, funds recovery and communication protocols. Manage fraud recall handling, coordinating with banks and networks to recover funds where possible. Stay up-to-date with the latest fraud trends, techniques, and technologies to continuously enhance fraud detect

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. Our Fraud team's mission is to help companies detect and prevent fraud using Plaid's financial network data. We believe that transaction patterns, device signals, identity linkages, and behavioral data are dramatically underleveraged tools in fraud prevention. Our products — including Protect and Signal — operate at network scale and depend on real-world investigation and research to stay ahead of adaptive adversaries. As a Senior Fraud Researcher, you will sit at the intersection of live fraud investigation, applied data science, and product innovation. You will lead complex investigations, translate findings into detection improvements, and collaborate tightly with Data Science, ML, and Product teams to shape the next generation of Plaid's fraud capabilities. This is not a purely operational role — your research directly drives features, model inputs, and product design. Responsibilities: Live Fraud Investigation & Reconstruction Lead investigations into complex fraud cases across identities, accounts, devices, and transaction surfaces Provide support to day-to-day fraud operations including SEVs and alert triage Reconstruct attacker sequences and hypothesize actor intent and tooling Distill p

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Manager, Fraud Operations. About the job In this role, you will be responsible for the performance and development of Fraud Operations Specialists, ensuring that cases are worked efficiently by order of priority, with high precision. The ideal candidate is comfortable in a fast paced, ever changing environment, is passionate about preventing consumer harm and enjoys switching between strategic and tactical level thinking. You will closely partner with other Fraud Operation Managers, Product Managers and Engineers, to deliver top performance of the entire Fraud Operations team. Responsibilities In this role, you’ll: Lead one of Twilio’s Fraud Operations organizations, which is responsible for fraud prevention on Twilio’s platform. Direct the day to day activities of your team to ensure Service Level Agreements are being consistently met Act as the point of contact for high value customer incidents Coach and mentor your te

Our mission and customers: We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be rated 4.8 on Trustpilot, based on 55,000+ reviews. Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75 (more about our culture here). Our journey: Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,700 Qontoers serving over 750,000 customers across 8 European countries. We have been profitable since 2023, and we are just getting started. Our beliefs: We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. We've built a discrimination-free hiring process because the best teams are built on merit. AI at Qonto: AI is deeply embedded in how we work (here) - Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it. ------------------------------------------------------------------------------------------------------ Join us as a Credit Fraud Analyst to help protect Qonto's credit products as we become a bank. You'll own the operational efficiency of our credit fraud processes end-to-end, reporting to Thibault, Head of Fraud. ➡️ What you'll do Own credit fraud operations end-to-end: You'll supervise the day-to-day efficiency of our credit fraud processes. Sharpen our AI fraud detection: You'll partner with Tech to continuously improve the AI tool we use to catch credit fraud and defaults. Rework eligibility, not just enforce it: You'll analyze credit defaults and declined financing to challenge and rework our eligibility criteria. Build and run fraud controls: You'll design and implement the controls that keep our credit products safe as we scale. Be the cross-market go-to

Our mission and customers: We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be rated 4.8 on Trustpilot, based on 55,000+ reviews. Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75 (more about our culture here). Our journey: Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,600+ Qontoers serving over 600,000+ customers across 8 European countries. We have been profitable since 2023, and we are just getting started. Our beliefs: We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. We've built a discrimination-free hiring process because the best teams are built on merit. AI at Qonto: AI is deeply embedded in how we work (here) - Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it. ------------------------------------------------------------------------------------------------------ Join us as a Senior Fraud Analyst to protect our customers by detecting and preventing various types of fraud. You will be part of our newly created specialized Fraud team, focusing on safeguarding Qonto's French market customers from scams and fraudulent activities. You will report to Anamaria, our Senior Team Lead Fraud ➡️ What you'll do Transaction monitoring: Monitor and analyze transactions to detect fraud patterns, focusing on scams, phishing attempts, and account takeover activities Risk assessment: Conduct risk assessments for new products and features while ensuring robust onboarding fraud prevention with limited need for oversight Investigation and prevention: Independently investigate complex fraud cases and implement preventive measures across fin

Senior Fraud Intelligence Analyst — NCD-0375 Brooklyn Park, MN 55445. Apply via Workday.

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Product Sales is a team of deep functional and technical specialists who both lead and advise on deals for the most strategically important products in Stripe’s portfolio. Stripe is investing in building out its Fraud & Risk Product Sales team and as an Account Executive you will be a critical part of the team driving the growth of this product. What you’ll do As an Account Executive, Product focusing on Fraud & Risk products, you will use your sales and product expertise to help drive product market fit & growth of Stripe’s fraud fighting products and solutions. You will collaborate with product, engineering and marketing teams to develop deep product and industry knowledge and drive strategic deals. You will be instrumental in leading in depth product discussions with existing and prospect users globally – and building and executing against our go to market strategy. You are an adept salesperson, capable of engaging in business-level and technical conversations at multiple levels of the organization, including CEOs, CTOs, and Chief Risk Officers. You are used to building value in competitive situations and enjoy working on products that require deep product understanding. You’re as comfortable working with clients as with internal stakeholders (including executives). You’re excited to become an expert and to share your knowledge. You’re an organized self-starter, an excellent communicator who is highly analytical and has a

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. The head of EMEA Refund Fraud will lead Doordash’s EMEA strategy for preventing and managing refund abuse across our marketplace. You will be accountable for the performance of the Credit and Refund (C&R) Fraud domain: setting the long-term vision, determining where we focus our resources, and building the team, controls and capabilities required to reduce fraud sustainably while protecting the experience of genuine customers. This is a senior leadership role at the intersection of Integrity, Customer Care, Product, Engineering, Analytics and Finance. You will lead a team of experienced fraud and strategy professionals and work with senior leaders across Deliveroo to make complex decisions about fraud risk, customer experience, operational cost and product investment. You will need to be comfortable operating in ambiguity, identifying problems before they become material, and turning complex and sometimes incomplete signals into a clear strategy. Success will come not from personally solving every problem, but from creating the direction, operating mechanisms and team that enable Deliveroo to manage refund fraud effectively at scale. What You’ll Be Doing Setting the C&R Fraud Strategy Set and own the 1–2 year vision and strategy for C&R Fraud, translating wider Integrity and business priorities into a focused roadmap. Proactively identify emerging risks, systemic vulnerabilities and opportunities rather than waiting for problems to be assigned. Determine the highest-value problems for the team to solve and make clear choices about where we should (and should not) invest. Define how we balance fraud loss, customer experience, operational cost and growth when desig

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. About the role Hybrid (3 days per week in the London office required) Individual contributor role A key part of the role is turning insight into action. You will translate analysis into clear, proportionate policies and operational responses that protect platform integrity and customer outcomes, while remaining practical to implement and appropriate for the markets in which we operate. You will work closely with Legal, Public Policy, Product, Data Science and Operations to navigate complex legal and regulatory considerations and ensure our approach is effective, fair and robust. Core responsibilities Lead a programme of work to identify, assess and prioritise courier/rider fraud and abuse risks across Wolt and Deliveroo. Translate identified risks into proportionate policy, process and operational responses, balancing risk reduction with customer outcomes, courier/rider experience and business practicality. Lead the implementation, monitoring and ongoing refinement of fraud and abuse policies, with clear measures of effectiveness and residual risk. Ensure policy approaches are developed with appropriate consideration of legal, regulatory, compliance and reputational implications. What you’ll be doing Build a deep understanding of our courier/rider operating models, incentive structures and end-to-end journeys to identify where fraud or abuse risk may arise, using data, operational knowledge and structured, hypothesis-led analysis. Develop analytical approaches and key metrics to identify patterns, quantify impact, assess detection signals and measure the effectiveness of policy interventions over time. Define new policies, or revise existing ones, in response to ident

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. About the Role Hybrid (3 days per week in the London office required) Individual contributor role Fraud is constantly evolving. As our business grows, so do the ways bad actors seek to exploit our products, promotions, and operations. As the Senior Strategy & Operations Manager for Emerging Fraud & Abuse, you'll lead the discovery, investigation, and mitigation of new and evolving abuse vectors across our platform. Your mission is to identify risks before they become systemic, working across Product, Engineering, Data Science, Operations, Legal, and Policy to design scalable solutions that protect our customers, partners, and business. This isn't a role focused on running existing fraud programmes. It's about identifying what's next. You'll combine deep analytical thinking with strategic problem solving to uncover emerging threats, quantify business impact, influence product strategy, and build new controls that keep us ahead of increasingly sophisticated fraudsters. If you enjoy solving ambiguous problems, following the data, and building solutions where no playbook exists, we'd love to hear from you. What You'll Do Identify Emerging Abuse Proactively identify new fraud patterns, abuse trends, and vulnerabilities across our products, customer journeys, and operational processes. Investigate anomalies, understand attacker behaviours, and translate observations into actionable mitigation strategies. Continuously scan for evolving risks, whether driven by organised fraud, policy loopholes, technological change, or new product launches. Build the Strategy Define the roadmap for emerging fraud prevention across the business. Prioritise risks based on

Who we are: Sardine is the leading agentic risk platform for fighting financial crime. Our integrated solution unifies data across risk teams to help organizations stop fraud in real time, prevent AI-driven attacks, and automate fraud and AML operations. Sardine’s platform is strengthened by one of the fastest-growing fraud consortiums in the market, spanning more than 6 billion profiled devices, 800 million consumers, and 3 million businesses worldwide. Leading companies including FIS, GoDaddy, Intuit, Edward Jones, ZoomInfo, and Checkout.com rely on Sardine to secure and grow trust in their products. Our culture: We hire talented, self-motivated individuals with extreme ownership and high growth orientation. We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule. We're a remote-first team spread across time zones, so no office to report to - work from wherever helps you do your best work. Just a couple of things to keep in mind: pay is based on where you're located, and you'll need to keep a home base in the country you're hired in. So while we love the "coffee shop today, mountains tomorrow" life, this isn't a passport-optional, work-from-anywhere-on-Earth kind of remote - think flexible within your country, not borderless. Location: Remote - United States About the role: We are seeking a deeply experienced and visionary Head of Fraud Product to lead the strategy, development, and execution of Sardine’s core fraud prevention suite. In this role, you will own the end-to-end product lifecycle for our fraud solutions, ensuring we stay multiple steps ahead of bad actors. You will lead a talented team of product managers and collaborate tightly with engineering, data science, risk operations, and go-to-market teams. The ideal candidate is a seasoned product leader with a relentless passion for risk

Help financial institutions build the next generation of fraud prevention. Online fraud and phishing are no longer simply cybersecurity or customer-awareness issues. For banks and insurers, fraud prevention is increasingly becoming a business transformation challenge involving payments, technology, data, customer journeys, operations and governance. At Capco, we help financial institutions translate this changing fraud landscape into practical solutions. Our work spans fraud prevention and detection, payment controls, real-time decisioning, fraud intelligence, customer protection and operating models. We are looking for an experienced Business Analyst with a strong track record in Fraud, Financial Crime, Payments or related Risk domains within financial services. What will you do? As a Business Analyst, you will work at the intersection of business, risk, operations and technology. You will help banks and insurers turn complex fraud challenges and regulatory requirements into concrete processes, requirements and solutions. Analyse and redesign fraud prevention and detection processes Translate business and regulatory requirements into functional requirements, user stories and process designs Design and improve payment and customer journeys around fraud prevention and intervention Define requirements for real-time fraud monitoring and decisioning Work on fraud data, behavioural analytics, device intelligence and fraud signals Support the design of fraud operating models, including roles, processes and governance Contribute to initiatives around victim support, case management and customer communication Facilitate workshops with stakeholders across Fraud, Risk, Payments, Operations, IT, Compliance and Customer Experience Translate complex business challenges into clear recommendations and actionable solutions What are we looking for? You are a Business Analyst who already has hands-on experience in fraud or a closely related domain and who understands the reali

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. We are the Data team within Plaid’s Fraud organization. We build the machine learning systems that power Plaid’s fraud detection products, leveraging Plaid’s network data to help identify and prevent fraud before it happens. Our team owns the end-to-end ML lifecycle, from feature pipelines and model training to production serving and monitoring, ensuring our systems are reliable, scalable, and built to support hundreds of customers and data partners. As a Data Scientist on the Fraud Data team, you will analyze customer and network traffic to understand how Plaid Protect performs across a range of use cases and customer segments. You’ll build dashboards and metrics that provide a clear, shared view of product performance, run backtests to evaluate performance and identify high-impact rules and model strategies, and generate insights that support customer growth and expansion. You’ll also design scalable data models and schemas to enable reliable analysis and reporting, while partnering closely with Product and Engineering to design and analyze experiments for new customer-facing features. Responsibilities: Work at the intersection of product analytics, machine learning, and fraud a

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. The Fraud Data team at Plaid builds the machine learning systems that power Plaid’s fraud detection products, leveraging insights from across Plaid’s network to help identify and stop fraud before it happens. Our team works across the full data science and machine learning lifecycle—from discovering new signals and experimenting with models to deploying and optimizing them in production. We continuously learn from real-world model performance and customer feedback to improve our systems and develop new ways to protect customers and consumers from evolving fraud threats. As a Senior Machine Learning Engineer on Plaid's Fraud Data team, you will develop models that improve fraud detection for our customers. You will identify predictive patterns in Plaid's network data and lead projects from initial experiments through model deployment and ongoing improvement. Investigate fraud patterns and model errors to identify new signals, improve detection, and expand coverage across customers and use cases. Develop training datasets and predictive features, addressing challenges such as incomplete labels, class imbalance, data leakage, and changing fraud behavior. Design, train, and tune model

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Fraud Data is the data science and machine learning team within Plaid’s Fraud organization, responsible for using data and ML to improve and scale Plaid’s fraud products. Within Fraud Data, the Customer & Product Intelligence team focuses on understanding product performance, uncovering customer insights, and enabling go-to-market teams with data-driven solutions. The team partners closely with customers and GTM teams on fraud analyses and proofs of concept, turning customer learnings into scalable, reusable product capabilities. We also build the metrics, analytics, and data foundations that measure product health, identify opportunities for improvement, and guide product decisions across Plaid’s Fraud portfolio. As a Data Science Manager, you will lead a team responsible for customer-facing data science and Fraud product analytics. You will set the team's roadmap, develop its data scientists, and remain involved in analytical methods, technical reviews, and customer investigations. You will: Set a 6–12-month roadmap with Product, Engineering, and GTM, and assign priorities and responsibilities across the team. Define product metrics, their underlying data, and reporting and