Fraud Investigator - Customer Protection

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Fraud Investigation team’s mission is to ensure Robinhood customers have swift identification and resolution of fraud-related issues. We do this by interacting with customers when their accounts encounter fraud, placing temporary restrictions on accounts if needed, investigating customer-surfaced and RH-identified fraud, communicating in a timely manner, and efficiently restoring and remediating accounts to their pre-fraud status. We train and employ skilled and knowledgeable investigators, deliver consistent and high-quality support, and minimize impact from fraud losses to protect our customers and our company's financial health. As a Fraud Operations Intern, you will conduct an end-to-end fraud investigation of accounts that have any concerns of fraud, with the ultimate goal of protecting our customers and minimizing fraud exposures to the firm. As a Fraud Operations Intern you will be responsible for reviewing fraud alerts, determining fraud or no-fraud and help identify emerging fraud trends through data analysis. This role is based in our Denver, CO office with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the

We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission: To actively connect people to their next great opportunity. Who We Are: ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. Summary: As a Trust & Safety Associate, you are on the front lines of protecting our users. You'll be a critical part of the team that ensures every job on ZipRecruiter is legitimate and every employer is verified. Your work directly impacts the safety and success of millions of job seekers, safeguarding them from fraud and helping us fulfill our mission. If you are a detail-oriented investigator with a passion for doing the right thing, this role is for you. The target start date for this role is 9/14/2026. Responsibilities: Protect Our Users: Investigate potential fraud, account takeovers, and policy violations to maintain a safe and reliable platform. Verify and Validate: Proactively connect with new employers via phone (inbound and outbound) and email to verify their accounts, ensuring a high-quality experience from the start. Uphold Quality Standards: Meticulously review job advertisements to ensure they comply with our guidelines and protect the integrity of the job seeker experience. Stay Ahead of Threats: Analyze and identify emerging scam trends, collaborating with the team to adapt and evolve our prevention strategies. Drive Improvement: Help refine and optimize our safety protocols and validation procedures, making our team more effective and efficient. Serve as an Expert: Provide interdepartmental support on account validation a

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 The Radar ML team builds the machine learning systems that power Stripe’s Radar fraud and abuse product suite. Our models make real-time decisions across a significant share of internet commerce - helping businesses stop fraud, increase authorization, and grow safely. By turning economy-scale datasets into compelling ML products, the team directly improves customer outcomes and drives meaningful revenue for Stripe. The team is growing, and expanding into multiple new areas. We are building abuse protections across the full customer life-cycle, adaptive and customizable fraud systems for enterprises, and risk intelligence for 50+ global payment methods. What you’ll do You will own ML problems from conception to production: analyzing new fraud and abuse patterns, exploring large-scale datasets, experimenting with model architectures, designing evaluations, deploying models, and monitoring performance. Your work may include developing transformer architectures for payment data, building graph-powered intelligence across consumers, leveraging LLMs to detect emerging attacks, or rapidly prototyping new protections with frontier AI labs. You will have opportunities to ship 0→1 products, and to improve mission-critical ML models operating at Stripe scale. Responsibilities Build, train, evaluate, and deploy models that detect fraud and abuse across Stripe’s global network. Investigate emerging fraud and abuse patterns, identify whe

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role Ramp's Financial Crime Compliance (FCC) team is looking for a senior investigator ready to shift from running cases to scaling the systems that run cases. You've built real depth in TM Alerts, AML Investigations, Complex Fraud, and EDD Reviews; you know what a good escalation looks like, where analysts get stuck, and where automation actually holds up in production versus just looks good in a demo. In this role, you'll spend most of your time partnering with Engineering and the Head of FCC Tooling to turn that judgment into scaled AI systems: testing model outputs, labeling and calibrating results, and making sure every automated decision point is well-documented and properly governed. You'll stay close enough to FCC's day-to-day workflows and will partake in some of them, but this is fundamentally a builder role. What You'll Do Partner directly with Engineering and the Head of FCC Tooling on automation experimentation and AI initiatives across TM, sanctions, complex fraud, and EDD, moving prototypes from one-off calibration exercises

About the team The Applied team safely brings OpenAI's technology to the world. We released ChatGPT; Plugins; DALL·E; and the APIs for GPT-5, embeddings, and fine-tuning. We also operate inference infrastructure at scale. There's a lot more on the immediate horizon. Our customers build fast-growing businesses around our APIs, which power product features that were never before possible. ChatGPT is a prime example of what is currently possible. We simultaneously ensure that our powerful tools are used responsibly. Safe deployment is more important to us than unfettered growth. The Fraud Engineering team works within our Applied Engineering organization identifying and responding to fraudsters on our platform. We are looking for a software engineer with anti fraud & abuse experience to help architect and build our next-generation anti-fraud systems. About the role The Scaled Abuse team protects OpenAI’s products and customers by detecting, preventing, and responding to fraudulent and abusive behavior at scale. We build and operate the backend and data systems that power real-time detection, investigation workflows, and enforcement — balancing strong protections with a great user experience as the platform grows. Our work sits at the intersection of engineering and abuse expertise: we partner closely with Trust & Safety, Security, and Product to understand emerging attack patterns, translate messy signals into clear system behavior, and continuously harden our defenses. The problems are dynamic and ambiguous by default, so we value engineers who can quickly dive into an unfamiliar codebase, develop strong intuition about how it works end-to-end, and propose pragmatic improvements that make the entire stack more resilient. In this role, you will: Design and build systems for fraud detection and remediation while balancing fraud loss, cost of implementation, and customer experience Work closely with finance, security, product, research, and trust & safety ope

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: We are seeking a Fraud Analyst to join our BSA/AML team. In this role, you will support the detection, investigation, and mitigation of financial crime risks, with a strong emphasis on fraud-related activity. You will play a key part in ensuring XMoney remains compliant with Bank Secrecy Act (BSA), Anti-Money Laundering (AML), and related regulations while protecting the company and its customers from fraud and illicit activity. This is a full-time salaried position with a Saturday–Wednesday schedule. Remote work is permitted on Saturdays and Sundays; in-office attendance is required Monday through Wednesday at either our Palo Alto headquarters or New York City office. RESPONSIBILITIES: Monitor, investigate, and escalate potential fraud, money laundering, and suspicious activity alerts using transaction monitoring systems and case management tools. Conduct thorough reviews of customer activity, account behavior, and transaction patterns to identify red flags related to fraud and financial crime. Perform customer due diligence (CDD), enhanced due diligence (EDD), and ongoing monitoring reviews. Collaborate with Engineering and senior management to investigate comp