Abuse Research Engineer Jobs

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 Abuse Operations is the front-line incident response and remediation function handling active product abuse and fraud impacting Stripe and its merchants. This multi-disciplinary group, spanning Incident Managers, Investigators, Forward Deployed Security Engineers, and Data Scientists, neutralizes active attacks, gathers requirements for operational tooling, and leads incidents. The team works directly with impacted merchants to resolve incidents and policy abuse rapidly. Operating primarily across Eastern, Pacific and Western European time zones, these team members regularly coordinate with global stakeholders across the world. What you’ll do In this role, you will play a critical part in safeguarding our financial ecosystem by investigating high-risk accounts, identifying complex fraud patterns, performing post-incident analyses, and driving cross-functional improvements to scale fraud detection. Building on these core operational duties, you will leverage your fraud, abuse, or product trust experience to improve incident response capabilities across Stripe by managing the entire fraud and abuse incident response process, developing response plans, leading workstreams, and serving as incident commander to ensure timely resolution. Furthermore, you will conduct gamedays to pressure-test response processes, drive proactive improvements, and help automate response workflows using agentic approaches ensuring we neutralize threats with speed

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. We are the first line of defense against fraud and abuse on the Plaid platform. Our mission is to ensure the safety and integrity of our platform for consumers and customers. As a Fraud and Abuse Operations Analyst , you will be responsible for responding to fraud and abuse events, investigating claims, and triaging incidents. We also partner with product and engineering teams to inform and improve fraud mitigation strategies. Responsibilities: Safeguard Plaid's Platform: Participate in the abuse on-call rotation, directly protecting our users and customers by responding to and resolving fraud and abuse events. Your timely actions will be instrumental in maintaining trust and security. Drive Investigations and Mitigate Risks: Investigate fraud and abuse claims from diverse sources, partnering with senior teammates on complex cases. Your findings will inform decisions and strategies, directly impacting Plaid's ability to prevent future incidents and minimize financial losses. Proactively perform threat modeling of abuse surfaces and continuously survey external fraud trends, adversary techniques, tooling, and emerging threat vectors Support Incident Response: Help triage and manage fraud and abuse ev

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

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Principal Software Engineer for our Anti-Abuse team. The Anti-Abuse team sits at the core of protecting Snowflake and our customers from abuse on the Snowflake Platform. We strive to see the complete picture, leading platform-wide abuse and fraud detection while designing and deploying proactive controls for Snowflake's highest-risk capabilities: Snowpark, Data Sharing, Cortex AI, and the next generation of cloud engineering challenges as Snowflake rapidly scales. In this role, you will be the lead technical architect responsible for defining and driving our technical strategy for abuse prevention, detection, and response across the entire Snowflake ecosystem. AS A PRINCIPAL SOFTWARE ENGINEER, ANTI-ABUSE AT SNOWFLAKE, YOU WILL: Define and drive the long-term technical vision for abuse and fraud detection across the Snowflake platform, serving as the chief architect for platform-wide anti-abuse strategy Partner directly with product and engineering teams building Snowflake's newest and highest-risk surfaces (Snowpark user code execution runtimes, Data Sharing and Marketplace, AI/LLM services) to design and deploy robust anti-abuse controls from day one Architect and scale high-throughput, low-latency telemetry pipelines and risk-scoring engines capable of ana

About the team Radar helps businesses prevent fraud and abuse without getting in the way of legitimate customers. We combine machine learning powered by Stripe’s global network with intuitive dashboard experiences and developer APIs, to give our users comprehensive controls and insights to protect their business against threats ranging from payment fraud and card testing to bot and free trial abuse. Fraud doesn’t stand still, and it isn’t limited to checkout. As businesses launch new products and business models, attackers find new ways to exploit them. We obsess about understanding those attacks, identifying defenses that work, and making sophisticated fraud prevention simple for the businesses that depend on us to help them protect and grow their revenue with confidence. What you’ll do As a product manager on the Radar team, you’ll work directly with customers to understand the novel fraud and abuse attacks they face, identify the most important problems to solve, and turn those insights into product strategy and a roadmap. You’ll work at the intersection of customers, engineering, data science, design, and commercial teams to shape what we build and bring it to market. Your work will span the fraud and abuse detection and control capabilities at the heart of Radar and the user and developer experiences that put those capabilities into our customers’ hands. This role requires both urgency and taste. You’ll move quickly as threats evolve, without compromising on reliability, craft, or the details that make complex products feel beautifully simple. Responsibilities Develop a deep understanding of the fraud and abuse landscape. Investigate emerging attacks with customers, assess their financial and operational impact, and distinguish isolated incidents from opportunities to build broadly useful defenses. Translate findings into a product strategy and roadmap, prioritizing the defenses that deliver the greatest customer and business impact. Partner with engineer

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Account Abuse team is tasked with ensuring Anthropic's computing capacity is allocated fairly, minimizing resources available to bad actors and preventing them from coming back. As a software engineer on this team, you will build the machine learning systems that help us detect and stop abuse at scale. The ideal candidate can see things from opponents' perspectives, understand their means and motives, and anticipate their responses to countermeasures. We're looking for full stack machine learning engineers with experience across model training, productionization, and evaluation. You'll also look for ways to use Claude to speed up how these models get built and maintained. This is classical ML on structured and behavioral data. You do not need a deep learning background or knowledge of LLM internals. What matters is that you have trained and shipped models where the stakes are real, and that you care about building robust production systems as much as the model itself. A false positive here is a legitimate customer locked out, so measurement, precision, and safe rollout are part of the job. Key responsibilities Build and operate a feature computation platform that serves both model training and real-time scoring, with point-in-time correct training data and low-latency online retrieval Train, evaluate, and deploy models that detect account-level abuse and fraud, running them both offline and online Build tooling that automates more of the model development lifecycle, including using Claude to speed up feature development, training, and evaluation Make backtesting, shadow deployment, and staged rollout the default pat

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 Abuse Operations is the front-line incident response and remediation function handling active product abuse and fraud impacting Stripe and its merchants. This multi-disciplinary group, spanning Incident Managers, Investigators, Forward Deployed Security Engineers, and Data Scientists, neutralizes active attacks, gathers requirements for operational tooling, and leads incidents. The team works directly with impacted merchants to resolve incidents and policy abuse rapidly. Operating primarily across Eastern, Pacific and Western European time zones, these team members regularly coordinate with global stakeholders across the world. What you’ll do In this role, you will play a critical part in safeguarding our financial ecosystem by investigating high-risk accounts, identifying complex fraud patterns, performing post-incident analyses, and driving cross-functional improvements to scale fraud detection. Building on these core operational duties, you will leverage your fraud, abuse, or product trust experience to improve incident response capabilities across Stripe by managing the entire fraud and abuse incident response process, developing response plans, leading workstreams, and serving as incident commander to ensure timely resolution. Furthermore, you will conduct gamedays to pressure-test response processes, drive proactive improvements, and help automate response workflows using agentic approaches ensuring we neutralize threats with speed

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role We're hiring a hands-on Engineering Manager to build and lead Replit's Anti-Abuse team from the ground up. This is a foundational 0-to-1 role: you'll define the anti-abuse roadmap, hire a small team of engineers and data analysts, and ship the systems that protect Replit's platform, users, and economics from adversarial actors. You'll partner across Support, Legal, Security, Infrastructure, and the Money and Growth teams to make abuse economically unviable while keeping friction low for legitimate users. Replit sits at the frontier of AI-native abuse. Our platform is a target for phishing and scam hosting, cryptomining, LLM token farming, card and coupon fraud, and increasingly, abuse driven by AI agents themselves. The team you build will define how Replit defends against all of it. What You'll Do Build the anti-abuse roadmap from scratch : Define the threat model, prioritize across abuse vectors (phishing/scam hosting, cryptomining, token farming, payment fraud, AI agent exploitation), and translate it into a shipping plan with clear sequencing and tradeoffs. Design progressive verification and identity infrastructure : Build the "ladder of trust" that gates increasing platform capabilities (referrals, additional credits, access to powerful agent features, Missions) behind escalating verification. This includes a humanity/identity layer that's distinct from user accounts, integrations with KYC-grade verification providers, and the policy engine that decides what level of trust unlocks what behavior. This infrastructure is core not just to promo integrity but to how Replit safely expands agent capabilities over time. Ship as a hands-on EM : Stay in the code. Use the latest AI coding tools (including Rep

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Account Abuse team is tasked with ensuring Anthropic’s computing capacity is allocated fairly, minimizing resources available to bad actors and preventing them from coming back. As a software engineer on this team, you will build systems that gather and analyze signals at scale, balancing tradeoffs and coordinating closely with stakeholder teams throughout the company. The ideal candidate can see things from opponents’ perspectives, understand their means and motives, and anticipate their responses to countermeasures. Responsibilities: Ability to think and respond quickly in a rapidly-changing greenfield environment Jumping into other teams’ code to identify key points to gather signals or introduce interventions with minimal impact on their systems’ stability, complexity, or overall architecture Integration with third-party data-enrichment vendors Creating monitoring dashboards, alerts, and internal admin UX Working closely with our data scientists to maintain situational awareness of our current usage patterns and trends, and with our Policy & Enforcement team to maximize the impact of their human-review availability Building robust and reliable multi-layered defenses Lead root cause analyses and deep-dive investigations into account activity to identify abuse patterns, uncover emerging attack vectors, and inform both immediate enforcement actions and longer-term systemic defenses You may be a good fit if you have: A Bachelor’s degree in Computer Science, Software Engineering or comparable experience Proficiency in Python, SQL, and data analysis tools. Strong communication skills and ability to explain complex

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Safeguards Enforcement Analyst on the account abuse team, you'll build and execute enforcement workflows that keep our products safe, with a focus on detecting and mitigating potential harm. Your initial focus will be account compromise: Anthropic's enforcement systems have to distinguish customers whose accounts have been compromised from actors abusing the platform — and today those two populations can look identical in the data. Stolen credentials and leaked keys are a growing abuse vector, and the collateral damage from enforcement against them lands on legitimate users. You'll own this problem end to end: detection, revocation, user notification, remediation, and the criteria for restoring access — turning what is today ad hoc incident response into a scalable, repeatable program. This position may expand into broader areas of enforcement over time. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Key responsibilities Investigate credential-compromise incidents across first-party and third-party platforms, tracing actor behavior across accounts and surfaces Design and operate remediation workflows for compromised accounts: revocation, customer notification, and standards for restoring access Partner with Engineering and Data Science teams to improve how we separate compromised-customer traffic from willful abuse Enforce usage policies with a focus on detecting and mitigating potentially harmful use of AI systems Work with threat intelligence on emerging credential-abuse pat

Job Title: Clinical Psychologist / Forensic Psychologist / Counselling Psychologist – Child Sexual Exploitation and NAT (Neglect, Abuse, Trauma) Banding: Band 8a equivalent Location: West Midlands or South Midlands (Hybrid – home and office-based, travel required across the region) Working Hours: Full-time, Monday to Friday (occasional weekend work may be required) Salary: £50,000 – £55,000 per annum (dependent on qualifications and experience) This is an exciting opportunity to join a developing therapeutic service supporting young people affected by Child Sexual Exploitation (CSE) and Neglect, Abuse, Trauma (NAT). The role focuses on improving psychological wellbeing and supporting the process of reunification with families. You’ll be delivering services across the West Midlands, working closely with local authorities and care teams to provide structured, impactful therapy and consultation. Responsibilities: As a key member of the Clinical Service, you will: Deliver specialist psychological assessments and structured interventions to young people and families. Facilitate weekly individual and group therapy sessions over 9–18 months. Provide consultation and support to staff working with young people. Act as a keyworker, managing care plans and coordinating multi-agency meetings. Contribute to service development and culturally competent care delivery. Supervise junior staff and contribute to training initiatives. Your work will directly shape the lives of vulnerable young people and support their journey toward healing and stability. Benefits: Structured clinical supervision and monthly management support Access to specialist training tailored to your role Hybrid working model with flexibility Opportunity to contribute to a new and innovative service Collaborative and supportive multidisciplinary team Mileage and travel expenses covered Career development within a growing organisation Qualifications and Experience: We welcome applicants from a

About the team Radar helps businesses prevent fraud and abuse without getting in the way of legitimate customers. We combine machine learning powered by Stripe’s global network with intuitive dashboard experiences and developer APIs, to give our users comprehensive controls and insights to protect their business against threats ranging from payment fraud and card testing to bot and free trial abuse. Fraud doesn’t stand still, and it isn’t limited to checkout. As businesses launch new products and business models, attackers find new ways to exploit them. We obsess about understanding those attacks, identifying defenses that work, and making sophisticated fraud prevention simple for the businesses that depend on us to help them protect and grow their revenue with confidence. What you’ll do As a product manager on the Radar team, you’ll help customers, developers, and partners bring fraud prevention naturally into the systems and workflows they rely on. You’ll shape products that make fraud management feel effortless, connecting Radar’s capabilities to the tools and experiences our users build and run. You’ll work at the intersection of customer needs and commercial opportunities to shape what we build and how we bring it to market. Working closely with engineering, data science, design, and go-to-market teams, you’ll build products and relationships that deliver lasting value to customers and partners. You’ll connect technical decisions to commercial outcomes while maintaining a high bar for reliability, craft, and the details that make complex products feel simple. Responsibilities Develop a deep understanding of the payments and fraud landscape, how businesses manage risk, and the systems and workflows they rely on. Work directly with customers, developers, and partners to uncover unmet needs, understand integration challenges, and identify opportunities to build broadly useful products. Develop and communicate a clear product strategy and roadmap, prioritizin

About the Team The Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem. We are dedicated to identifying emerging abuse trends, analyzing risks, and working with our internal and external partners to implement effective mitigation strategies to protect against misuse. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits humanity. The Strategic Intelligence & Analysis (SIA) team provides safety intelligence for OpenAI’s products by monitoring, analyzing, and forecasting real-world abuse, geopolitical risks, and strategic threats. Our work informs safety mitigations, product decisions, and partnerships, ensuring OpenAI’s tools are deployed securely and responsibly across critical sectors. About the Role As a Quantitative Intelligence Analyst , you will focus on discovering novel and emerging risks in complex human–AI systems before they are well-defined, measurable, or widely understood. You will use deep subject matter expertise and quantitative tooling to surface weak, early, and unconventional risk signals. You will build analytic models that explain how harms could emerge and translate ambiguous patterns into structured, data-driven insight. Your work will help identify potential gaps in policy or coverage and operationalize previously unmeasured problems into signals that can support detection, mitigation, and planning downstream. You will develop analytical frameworks that map how new risks form, evolve, and propagate as products change, policies shift, and external events unfold. Your analyses will directly inform strategic risk prioritization and planning across the company, with regular visibility through strategic risk products. This role is based in office (hybrid, 3 days/week). Relocation support is available In this role, you will: Discover and define new quantitative risk signals where no established metrics exist, using subject matter exp

About the team The Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem in close collaboration with our internal and external partners. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits humanity. This role focuses specifically on AI Safety: understanding and mitigating risks created or amplified by increasingly capable AI systems. It is not a cybersecurity, information security, or corporate security role. The Strategic Intelligence & Analysis (SIA) team provides safety intelligence for OpenAI’s products by monitoring, analyzing, and forecasting real-world abuse, geopolitical risks, and strategic threats. Our work informs AI safety mitigations, product decisions, and partnerships, ensuring OpenAI’s tools are deployed responsibly across critical sectors. About the role We are looking for a Frontier AI Risks Lead to help us understand potential harms and misuse of AI in a time of rapid, sustained change. We seek to understand how developments in AI could intersect with misuse and abuse, accelerating existing harm areas and creating novel risks. We seek to scan available signals and use strategic foresight methodologies to enable proactive detection and mitigation of frontier AI risks. This is an AI safety role focused on frontier and systemic risks, including model misalignment, recursive self-improvement (RSI), multi-agent interaction, loss of control, runaway agents, and related emerging failure modes. In this role, you will help provide a strategic-level perspective on a range of frontier AI safety areas, producing actionable understanding of issues relevant to OpenAI’s platforms, systems, and broader mission. Utilizing mixed quantitative and qualitative methodologies, you will spot early warning signs, pull threads on potentially concerning behavior, and turn weak signals into clear, prioritized risk calls. You will focus on upstream ecosystem sc

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 Abuse Operations is the front-line incident response and remediation function handling active product abuse and fraud impacting Stripe and its merchants. This multi-disciplinary group, spanning Incident Managers, Investigators, Forward Deployed Security Engineers, and Data Scientists, neutralizes active attacks, gathers requirements for operational tooling, and leads incidents. The team works directly with impacted merchants to resolve technical incidents and policy abuse rapidly. Operating primarily across Eastern, Pacific and Western European time zones, these team members regularly coordinate with global stakeholders across the world. What you’ll do You'll play a critical role in safeguarding our financial ecosystem by investigating high-risk accounts and identifying complex patterns of fraud during incidents. You will lead incident response for product abuse and fraud events, conducting deep-dive analyses to identify root causes. By collaborating cross-functionally, you will drive improvements that enhance our fraud detection and prevention strategies at scale. Your expertise will be essential in automating response processes through agentic approaches, allowing us to safeguard merchants and neutralize threats with speed and precision. Responsibilities Investigate, mitigate, and remediate urgent fraud incidents (e.g., ATO, card testing), utilizing FT3-mapped detection and signals enrichment to reduce uncertainty and accelerate resp