Fraud Strategist Jobs

At Experient, we provide experience, technology, and transformation support to our clients, creating a dynamic work environment. We value collaboration, prioritize effective communication, and focus on delivering results quickly and practically. Whether you’re looking to deepen your expertise or take on new challenges, we’re here to support your journey every step of the way. We are seeking a Senior Technical Project Manager to join our team. In this role, you will lead the delivery of technology initiatives that bring business strategy to life within financial services. You will serve as a Senior Technical Project Manager on client engagements, guiding cross-functional teams as they implement strategies across credit card, fraud prevention, collections and lending portfolios, and ensuring each release is high quality, well governed and tied to business priorities. The ideal candidate pairs a strong understanding of banking and lending with disciplined Agile delivery and has a proven track record of turning complex requirements into well-planned, on-time releases. This is a highly collaborative, client-facing consulting role requiring the ability to bring clarity to technical work, keep diverse stakeholders aligned and navigate the regulatory expectations that shape financial services environments. Location: Dallas, TX or Charlotte, NC; Hybrid work environment. What You'll Do Own technical initiatives from start to finish, partnering with client stakeholders to shape project scope, objectives and a clear vision for delivery. Translate business strategy into actionable work by breaking requirements down into well-defined tasks, user stories and acceptance criteria. Develop and maintain technical requirements documentation and process flow diagrams that give engineering, QA and business teams a shared view of the solution. Build and manage a prioritized backlog that reflects business value, customer impact and shifting client priorities. Lead Agile ceremonies, includi

About the opportunity We are seeking a highly driven Steering & Planning Associate for our Customer Risk Lifecycle (CRL) domain, helping achieve N26’s ambition to be a pioneer in the prevention of Financial Crime. This presents a unique opportunity to work on cutting-edge initiatives in an ever-changing space to safeguard N26 customers from fraud, scams, and digital identity attacks, and safeguard the bank against money launderers and money mules through their whole risk lifecycle. You will play a pivotal role in bridging the gap between strategy and execution, helping N26 grow and run better by translating ambitious goals into clear KPIs and tangible results. In this role, you will be part of a high-impact team that acts as a strategic partner to leadership, driving value and business resilience across our core risk and compliance lines. If you are interested in learning how we leverage technologies like Machine Learning and Generative AI end-to-end—from a front-end UX perspective to back-end and staff tooling at onboarding, device pairing, payment, and card transactions—this position is for you! You will be working on initiatives that are at the heart of all risk-based decisions that support new and existing product propositions while ensuring compliance with future regulations. In this role, you will: Help ensure the Anti Financial Crime Strategy is well-defined, owning and refining the segment strategy to enable data-driven trade-offs across the Customer Risk Lifecycle. Act as a subject matter expert, developing a deep understanding of business drivers, infrastructure, and processes related to financial crime prevention and staff investigations. Lead continuous improvement initiatives by analyzing workflows and performance metrics to identify inefficiencies, streamline processes, implement automation, and support scalable business growth. Monitor KPIs and SLAs to ensure alignment with company objectives, proactively reviewing data and performance insi

About the opportunity We are seeking a highly driven Steering & Planning Associate for our Customer Risk Lifecycle (CRL) domain, helping achieve N26’s ambition to be a pioneer in the prevention of Financial Crime. This presents a unique opportunity to work on cutting-edge initiatives in an ever-changing space to safeguard N26 customers from fraud, scams, and digital identity attacks, and safeguard the bank against money launderers and money mules through their whole risk lifecycle. You will play a pivotal role in bridging the gap between strategy and execution, helping N26 grow and run better by translating ambitious goals into clear KPIs and tangible results. In this role, you will be part of a high-impact team that acts as a strategic partner to leadership, driving value and business resilience across our core risk and compliance lines. If you are interested in learning how we leverage technologies like Machine Learning and Generative AI end-to-end—from a front-end UX perspective to back-end and staff tooling at onboarding, device pairing, payment, and card transactions—this position is for you! You will be working on initiatives that are at the heart of all risk-based decisions that support new and existing product propositions while ensuring compliance with future regulations. In this role, you will: Help ensure the Anti Financial Crime Strategy is well-defined, owning and refining the segment strategy to enable data-driven trade-offs across the Customer Risk Lifecycle. Act as a subject matter expert, developing a deep understanding of business drivers, infrastructure, and processes related to financial crime prevention and staff investigations. Lead continuous improvement initiatives by analyzing workflows and performance metrics to identify inefficiencies, streamline processes, implement automation, and support scalable business growth. Monitor KPIs and SLAs to ensure alignment with company objectives, proactively reviewing data and performance insights. I

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role: Reporting to the Head of AML Investigations, the Senior Manager will assist with the design and execution of SoFi’s transaction monitoring and wallet screening programs involving fiat currency, cryptocurrency and stablecoins. Responsibilities include establishing procedures, training materials, and furthering strategic initiatives related to digital assets as needed. Overseeing risk-related decisions to terminate customers. Additionally, this leader will oversee a team of FIU Investigators conducting independent suspicious activity investigations and preparing Suspicious Activity Reports related to both fiat and digital currencies. This requires that the Senior Manager conduct regular one-on-ones, deliver coaching, and perform holistic quality reviews of investigative work products to ensure rigorous analysis and thorough dispositions (quality control). What you’ll do: Manage a team of FIU Investigators responsible for evaluating AML and Fraud alerts and cases involving cryptocurrency, stablecoins, and other digital assets, determining whether activity presents financial-crime risk and whether escalation or SAR filing is warranted. Provide oversight and subject-matter expertise for complex digital-asset investigations, including on-chain transaction flows, wallet activity, self

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Data Scientist What is the opportunity? We are seeking a highly skilled and motivated Data Scientist to join our Cyber Analytics team within the Security Solutions Data Science organization. This role is critical to driving advanced analytics initiatives, improving fraud detection capabilities, and supporting strategic decision-making across cybersecurity and payment fraud domains. What will you do? • Gain subject matter knowledge on web application security, commonly exploited cyber vulnerabilities, and methods of online and payment card fraud including the common points of purchase for compromised cards. • Build, develop, and maintain innovative data-driven analytical solutions, including predictive models and machine learning algorithms, on large volumes of data to support analytics and reporting needs across products, markets, and services. • Competently handle large datasets, sifting for patterns and trends and translating those insights into technical rules and solutions. • Combine cybersecurity and transaction data into new and insightful views of fraud and vulnerability across the Mastercard network. • Collaborate with cross-functional teams including product, engineering, and operations to understand product, usage, and data pipelines as well as delivering scalable solutions. • T

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As our Senior Expense Analyst, you will champion Everpure’s global Travel & Expense (T&E) ecosystem, optimizing enterprise Concur systems to ensure seamless financial operations, compliance, and user experiences. Partnering closely with finance, IT, and cross-functional teams, you will drive process automation, strengthen internal SOX controls, and eliminate operational risk. Your analytical insights will directly inform executive decision-making and scale global travel governance. WHAT YOU'LL DO Architect & Optimize Enterprise T&E Systems: Lead end-to-end administration, system configurations, and intelligence reporting within Concur to drive continuous process simplification, workflow automation, and seamless integration across corporate platforms. Strengthen Global Governance & SOX Controls: Establish, monitor, and audit T&E control frameworks aligned with internal SOX practices to prevent fraud, eliminate duplicate reimbursements, and maintain audit readiness across all business units. Deliver Executive Data & Analytics: Design actionable T&E metrics, dashboards, and reporting models for business leaders to enhance spend visibility, optimize travel budgets, and guide strategic financial planning. Drive Process Excellence & Stakeholder Enablement: Facilitate live interactive webinars and training sessions, establish industry best practices, and resolve complex T&E queries

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As an Expense Analyst at Everpure, you will safeguard company resources and deliver an exceptional employee experience by modernizing our global Travel & Expense (T&E) operations. Operating at the intersection of finance, data analytics, and policy governance, you will partner cross-functionally across global business units to optimize expense auditing, minimize financial risk, and drive process automation. This role offers the opportunity to leverage cutting-edge platforms like Concur and AppZen to transform routine audits into strategic operational insights. WHAT YOU'LL DO Drive Global Audit Excellence: Execute comprehensive expense report reviews using Concur Expense and AppZen AI tools, auditing expenditures, foreign exchange rates, and itemized costs to guarantee adherence to Everpure’s Global T&E policies. Optimize Processes & Automation: Utilize data analytics and Intelligence Reporting to identify operational bottlenecks, streamline auditing workflows, and scale process efficiency across global business units. Mitigate Financial Risk & Enhance Controls: Proactively evaluate expense patterns to strengthen internal controls, preventing duplicate reimbursements, identifying system inconsistencies, and reducing fraud risk. Deliver High-Touch Stakeholder Support: Serve as a subject matter expert for global employees, resolving complex T&E queries promptly while delivering high-quality cu

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 Research Group (ARG) handles proactive threat hunting and adversary behavior analysis across Stripe products. Rather than reacting to alerts, the team maps end-to-end fraud and abuse paths, validates novel attack vectors, and identifies product conditions that enable fraud. Using agentic automated testing and simulation tools, ARG translates research into actionable threat advisories, strategic control recommendations, and regression scenarios to systematically eliminate vulnerabilities. What you’ll do As an Abuse Research Engineer in the Abuse Research Group, you will play a critical role in safeguarding Stripe’s financial ecosystem by proactively hunting for advanced threats, dissecting complex fraud vectors, and extracting actionable adversary intelligence. Rather than relying solely on reactive alerts, you will develop and execute hypothesis-driven threat hunting operations across internal telemetry and external sources to uncover fraudulent tools, tactics, and techniques (TTPs) before they impact Stripe’s platform. Central to this work is FT3 (Fraud Taxonomy 3.0), Stripe’s multi-layered taxonomy that decomposes monolithic fraud into structured kill chains. Collaborating cross-functionally with Fraud Ops, Strategy, Risk, Onboarding, and Security, you will integrate threat intelligence, build agentic simulation workflows, and systematically eliminate product vulnerabilities. Responsibilities Proactive Threat Hunting &amp

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

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

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

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

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 - Mexico City, Mexico About the Role: Sardine is rapidly acquiring new customers and executing on an ambitious roadmap. Reporting directly to the Global Head of Expansion, the General Manager - Mexico will own Sardine's market strategy, revenue growth, and customer success in Mexico. This person will partner cross-functionally with Sales, Marketing, Product, Account Management, and Partnerships to establish Sardine as the leading fraud prevention platform in the market, build strategic relationships with banks and payment networks, and represent the voice of

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and