Fraud Investigator Jobs

Key Responsibilities : 4–7 years of experience in Fraud Risk Management, Trust & Safety, or Risk Engineering, ideally in fintech, payments, or banking Hands-on experience building or operating real-time fraud detection and transaction monitoring systems Strong understanding of risk scoring, rules engines, and/or ML-based fraud detection approaches Experience working with payment flows, UPI, wallets, or similar transaction-heavy systems Familiarity with regulatory requirements around fraud and risk controls — NPCI, RBI, sanctions/watchlist screening, suspicious-transaction reporting, and comparable regimes Proficiency in Python or a similar language; comfortable working with SQL and large transactional datasets Strong analytical mindset, with the ability to translate emerging fraud patterns and typologies into actionable detection logic Comfortable owning a control that only works if someone actually works it — the review queue and escalation path are real from the day you’re behind them Experience with UPI/TPAP ecosystems or NPCI-regulated payment products is a plus Experience with case management tools and fraud investigation workflows is a plus Exposure to machine learning-based risk models in production, including model governance and drift monitoring, is a plus Prior experience supporting statutory or regulatory audits related to fraud or risk controls is a plus

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Payments Risk Analyst I on the Payments Risk team, you'll serve as the first line of defense against payments fraud across Coinbase. This team reviews escalated accounts, identifies fraud patterns, and strengthens the controls that protect millions of customers from chargebacks, ACH abuse, wire disputes, and account takeovers. You'll own end-to-end fraud investigations, surface insights that sharpen our detection logic, and drive process improvements that reduce risk exposure at scale. What you'll do: Own detailed investigations of escalated customer accounts to identify and mitigate payments fraud risks, including chargebacks, ACH returns, wire disputes, and account takeovers. Analyze fraud trends and patterns in payment activities, delivering actionable insights to Payments Risk leadership that improve detection accuracy. Partner with the Payments Risk investigations team to provide feedback on rule performance and risk logic, strengthening our automated defenses. Drive process improvements by identifying workflow inefficiencies and recommending changes that reduce risk exposure and increase operational throughput. Support the development and documentation of review processes to scale operational efficiency as transaction volumes grow. Required Skills and Experience: 1+ years of experience in payments risk, fraud analysis, or risk operations within financial s

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Payments Risk Analyst I on the Payments Risk team, you'll serve as the first line of defense against payments fraud across Coinbase. This team reviews escalated accounts, identifies fraud patterns, and strengthens the controls that protect millions of customers from chargebacks, ACH abuse, wire disputes, and account takeovers. You'll own end-to-end fraud investigations, surface insights that sharpen our detection logic, and drive process improvements that reduce risk exposure at scale. What you'll do: Own detailed investigations of escalated customer accounts to identify and mitigate payments fraud risks, including chargebacks, ACH returns, wire disputes, and account takeovers. Analyze fraud trends and patterns in payment activities, delivering actionable insights to Payments Risk leadership that improve detection accuracy. Partner with the Payments Risk investigations team to provide feedback on rule performance and risk logic, strengthening our automated defenses. Drive process improvements by identifying workflow inefficiencies and recommending changes that reduce risk exposure and increase operational throughput. Support the development and documentation of review processes to scale operational efficiency as transaction volumes grow. Required Skills and Experience: 1+ years of experience in payments risk, fraud analysis, or risk operations within financial s

Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together. So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, offer buy now, pay later functionality, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale. Today, we are a partner to sellers of all sizes – large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We’re building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same. The Role The mission of the Compliance Operations team at Square Japan is to perform the day-to-day operational activities associated with regulatory, payment network, and partnership requirements. The team is responsible for monitoring and investigating potential compliance concerns, including anti-money laundering (AML), sanctions, fraud, prohibited business activity, and violations of Square's Merchant User Agreement. The Compliance Analyst will conduct investigations, perform merchant transaction monitoring reviews, support compliance monitoring programs, and collaborate with internal and external stakeholders to ensure compliance with applicable Japanese laws, regulations, payment network requirements, and co

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 Abuse Research team is dedicated to proactively hunting for emerging abuse vectors and studying complex attacker behaviors. Rather than just reacting to alerts, the team maps complete abuse paths across Stripe products and external systems to validate novel findings and explain the underlying product conditions that enable fraud. By building continuous abuse tests with agentic testing and related systems, they translate their deep research into actionable threat advisories, strategic control recommendations, and regression scenarios that fortify Stripe’s defenses. What you’ll do You will lead the Abuse Research Group (ARG)—a team of threat intelligence analysts, fraud researchers, and detection engineers focused on proactively identifying and mitigating threats to Stripe and our merchants. You will set the research agenda, guiding work across threat actor tracking, hands-on fraud investigations, merchant ecosystem defense, and the detection pipelines that turn findings into production enforcement. You will scale the team through hiring, coaching, and talent development, while serving as a technical advisor on complex investigations. You will also own ARG's relationships with key partners—including Risk, Trust & Safety, Fraud Platform, and Security Engineering. Lead, develop, and retain a team of threat intelligence analysts, fraud researchers, and detection engineers who thrive at the intersection of adversarial research an

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 hiring for a leader for the newly forming Detection and Response team at Plaid. Our mission is to protect Plaid's financial infrastructure by detecting and responding to suspicious activity across the company. We are responsible for the entire lifecycle of detection and response, including detection infrastructure, AI triage and response, investigation tooling, Red Teaming, and Fraud Operations. Security is foundational to the trust thousands of businesses and millions of consumers place in Plaid, and we work directly to reduce risks and enable our business to move faster and safer. As the Head of Detection and Response, you will be the founding leader responsible for standing up and evaluating Plaid's detection and response team. You will lead a specialized technical team of analysts and engineers, gain deep experience partnering with the CISO and cross-functional engineering leaders, and build critical security infrastructure at scale. This is a unique leadership opportunity to manage a team that encompasses traditional security operations alongside Red Teaming and Fraud Operations, directly impacting Plaid's security posture and long-term stability. Responsibilities: For

Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. What You’ll Be Doing Independent review and challenge of fraud risk assessments conducted by 1 LoD, including RCSA validation, control effectiveness testing, and escalation of identified gaps to senior management Oversight and quality assurance of incident documentation, ensuring completeness, accuracy, and alignment with BCB regulatory standards; contribution to the BCB 260 annual fraud report Regulatory SLA oversight for participant fraud investigation requests: review 1 LoD responses for adequacy, flag deficiencies, and ensure timely escalation where SLAs are at risk BCB 343 compliance monitoring of 24-hour fraud event registrations and monthly declarations submitted by 1 LoD Independent assessment of BCB-directed investigations: evidence review, challenge of 1 LoD findings, and preparation of formal regulatory responses AML interface: independent identification and escalation of fraud patterns with potential money laundering indicators to the Compliance/AML function Ongoing independent monitoring of the Dynamic Deposit Limit scoring model and Eagle Eye controls, including periodic effectiveness reviews and r

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

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

Integra’s mission is to restore integrity to the financial system. Integra is looking for a research analyst to partner with quantitative analysts to develop and enhance existing methods for investigating fraud. This person will conduct research on a variety of topics related to fraud. Responsibilities would include the following: Reviewing academic research and news articles related to financial, securities, cryptocurrency or health care fraud Identifying emerging areas of fraud based on review of news, social media and other sources Reviewing specific cases of fraud, including analysis of specific organizations, entities or institutions Gathering of publicly available data and information Compiling and summarizing research Other tasks to support Integra’s business Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Integra’s mission is to restore integrity to the financial system. Integra is looking for a research analyst to partner with quantitative analysts to develop and enhance existing methods for investigating fraud. This person will conduct research on a variety of topics related to fraud. Responsibilities would include the following: Reviewing academic research and news articles related to financial, securities, cryptocurrency or health care fraud Identifying emerging areas of fraud based on review of news, social media and other sources Reviewing specific cases of fraud, including analysis of specific organizations, entities or institutions Gathering of publicly available data and information Compiling and summarizing research Other tasks to support Integra’s business Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

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 We are looking for someone passionate about fighting fraud, is naturally curious, and has a strong desire to network with peers and partners within the fraud space. You will be responsible for conducting account investigations, making account-level judgements, and providing support for special handling risk cases. You will be confident in looking through data, assessing various indicators, and making judgements on your findings. The right candidate for this role will ideally have some experience in fraud, preferably within ecommerce or payments, and possess a basic understanding of fraud prevention and controls. What you’ll do Responsibilities Investigate accounts to identify fraudulent merchants, card testing, account takeover, and other fraud vectors Conduct investigations on merchant accounts to support financial partner requirements Assess risk factors and trends of potentially fraudulent activity Help maintain fraud detection strategies and business rules that balance fraud loss and customer experience Contribute to root cause analysis to identify opportunities to predict, prevent, and mitigate risk within process and performance Participate in monthly, quarterly, and annual business reviews for the Fraud Operations team Who you are We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus,

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 We are looking for someone passionate about fighting fraud, is naturally curious, and has a strong desire to network with peers and partners within the fraud space. You will be responsible for conducting account investigations, making account-level judgements, and providing support for special handling risk cases. You will be confident in looking through data, assessing various indicators, and making judgements on your findings. The right candidate for this role will ideally have some experience in fraud, preferably within ecommerce or payments, and possess a basic understanding of fraud prevention and controls. What you’ll do Responsibilities Investigate accounts to identify fraudulent merchants, card testing, account takeover, and other fraud vectors Conduct investigations on merchant accounts to support financial partner requirements Assess risk factors and trends of potentially fraudulent activity Help maintain fraud detection strategies and business rules that balance fraud loss and customer experience Contribute to root cause analysis to identify opportunities to predict, prevent, and mitigate risk within process and performance Participate in monthly, quarterly, and annual business reviews for the Fraud Operations team Who you are We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus,

We're on a mission to Make Life Easy, and nothing makes life harder than losing money to a fraudster. Fraud Ops is what keeps that promise real: fast, accurate decisions on our user’s money, every single day. Our Fraud queues have changed. Automation now clears the obvious cases, so what lands on your desk are the hard ones: ambiguous profiles, mixed signals, calls with real financial and regulatory weight behind them. We're growing the team to keep pace with that shift, and we're looking for people who bring both speed and precision to the table. Up for this? Kick off your application by taking our assessment and find out if bunq is your perfect match! 🍭 Take ownership As our Fraud Operations Analyst, you'll take on the cases automation can't settle on its own: reading the signals, protecting our user’s money, and helping our systems learn from every case you close. Become a detective in fraud prevention, using your in-depth investigation and problem-solving skills to protect our users from suspicious activity 🕵️‍♂️ Bring empathy and effective communication into every interaction to provide the best support possible Investigate ambiguous fraud cases where the signals aren't clear-cut, weighing behavioral and contextual clues to tell a genuine user from a fraudster Choose whether to act, ask, or escalate: fast, accurate calls that protect user’s money Feed what you learn back into our fraud tooling, so automation catches more and fewer edge cases reach the queue over time You have knowledge of fraud monitoring and prevention You have a close eye for detail: you notice the subtle behavioral and contextual clues You always think from the user’s perspective first, have empathy, and understand how to protect their interests You're comfortable using AI tools to work faster and smarter, and you can spot when an AI-based tool is being used against us We'd love it if you already have knowledge of KYC and PayOps You're an excellent communicator and speak English fluently Y

We're on a mission to Make Life Easy, and nothing makes life harder than losing money to a fraudster. Fraud Ops is what keeps that promise real: fast, accurate decisions on our user’s money, every single day. Our Fraud queues have changed. Automation now clears the obvious cases, so what lands on your desk are the hard ones: ambiguous profiles, mixed signals, calls with real financial and regulatory weight behind them. We're growing the team to keep pace with that shift, and we're looking for people who bring both speed and precision to the table. Up for this? Kick off your application by taking our assessment and find out if bunq is your perfect match! 🍭 Take ownership As our Fraud Operations Analyst, you'll take on the cases automation can't settle on its own: reading the signals, protecting our user’s money, and helping our systems learn from every case you close. Become a detective in fraud prevention, using your in-depth investigation and problem-solving skills to protect our users from suspicious activity 🕵️‍♂️ Bring empathy and effective communication into every interaction to provide the best support possible Investigate ambiguous fraud cases where the signals aren't clear-cut, weighing behavioral and contextual clues to tell a genuine user from a fraudster Choose whether to act, ask, or escalate: fast, accurate calls that protect user’s money Feed what you learn back into our fraud tooling, so automation catches more and fewer edge cases reach the queue over time You have knowledge of fraud monitoring and prevention You have a close eye for detail: you notice the subtle behavioral and contextual clues You always think from the user’s perspective first, have empathy, and understand how to protect their interests You're comfortable using AI tools to work faster and smarter, and you can spot when an AI-based tool is being used against us We'd love it if you already have knowledge of KYC and PayOps You're an excellent communicator and speak English fluently Y