Fraud Investigations Analyst Jobs

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

Our mission and customers: We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be rated 4.8 on Trustpilot, based on 55,000+ reviews. Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75 (more about our culture here). Our journey: Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,700 Qontoers serving over 750,000 customers across 8 European countries. We have been profitable since 2023, and we are just getting started. Our beliefs: We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. We've built a discrimination-free hiring process because the best teams are built on merit. AI at Qonto: AI is deeply embedded in how we work (here) - Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it. ------------------------------------------------------------------------------------------------------ Join Juliette’s Anti-Financial Crime (AFC)France team as an expert to protect Qonto and its users. As a second-line expert, you will validate our Enhanced Investigations and suspicious activity reports before they reach the French Financial Intelligence Unit (Tracfin), and shape how we detect and investigate financial crime — from complex risk scenarios to better procedures. 👩‍💻🧑‍💻 As an AFC Expert (France) at Qonto, you will Validate: Review, correct and autonomously validate the Enhanced Investigations drafted by the AFC team before they are declared to Tracfin. Report: Draft, review and validate Suspicious Activity Reports (SARs) for Tracfin, including the most complex cases (large networks, tax fraud involving several groups), and handle complex authori

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! We are growing our engineering team at Trustpilot and are looking to welcome a Software Engineer I into the Trust Tech department! You will join a cross-functional team with full ownership of our products and codebase, where you will take part in every step of the development process, from ideation to maintenance. This is a place where you can grow as an individual, learn from senior mentors, and have a real influence on the direction of our projects. About the team: You will be joining a brand new team being built within the Trust Tech department, focusing specifically on businesses. The team is responsible for building and maintaining automated systems that enforce Trustpilot’s terms of use for businesses. This includes developing systems for automatic detection, enforcement of misuse, and internal investigation tools. This work is vital to maintaining Trust and Transparency on the platform. To achieve this, we collaborate closely with Data Scientists, Data Ops, and ML Ops to build sophisticated automated architectures that integrate detection models and robustly scale our misuse enforcement. What you’ll be doing: Work in a cross-functional “full ownership” team alongside Product, Design, and Data Science. Implement and release new features with a focus on backend stability and scalability. Help build solutions to handle high-volume data processing for fraud detection. Maintain and improve the internal tooling frontends (React) used for investigations. Troubleshoot existing software, squash bugs, and learn how to optimize database performance. Participate in technical discussions and learn best practices for Infrastructure as Code. Collab

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly within the United States. If you happen to live close to one of our physical office locations (San Francisco, Los Angeles, New York City & Chicago) our doors are open for you to come into the office as often as you'd like. Reddit is poised to innovate and grow like never before, and Safety is a critical accelerant of that growth. The Safety org is Reddit’s central Trust & Safety organization, protecting users from bad experiences by stopping harmful content, behaviors, and abuse across the platform. We are looking for a Senior Data Scientist to lead ads fraud detection and scaled enforcement within Safety. You will partner closely with Ads Product, Engineering, Machine Learning, Operations, Policy, Legal, and fellow Safety data scientists to identify emerging ads fraud, define rigorous measurement and evaluation standards, and turn investigations into durable signals, models, rules, and enforcement pipelines. This is a high-impact role with exceptional opportunity for ownership and growth: as an early leader in a greenfield space, you will help define the strategy, shape cross-functional roadmaps, build foundational capabilities, and expand your scope as Reddit’s ads integrity program matures. Responsibilities Lead the measurement and detection strategy for ads fraud by defining fraud taxonomies, labels, sampling plans, metrics, and evaluation frameworks that make performance measurable and defensible. Analyze la

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

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! We are growing our engineering team at Trustpilot and are looking to welcome a Software Engineer I into the Trust Tech department! You will join a cross-functional team with full ownership of our products and codebase, where you will take part in every step of the development process, from ideation to maintenance. This is a place where you can grow as an individual, learn from senior mentors, and have a real influence on the direction of our projects. About the team: You will be joining a brand new team being built within the Trust Tech department, focusing specifically on businesses. The team is responsible for building and maintaining automated systems that enforce Trustpilot’s terms of use for businesses. This includes developing systems for automatic detection, enforcement of misuse, and internal investigation tools. This work is vital to maintaining Trust and Transparency on the platform. To achieve this, we collaborate closely with Data Scientists, Data Ops, and ML Ops to build sophisticated automated architectures that integrate detection models and robustly scale our misuse enforcement. What you’ll be doing: Work in a cross-functional “full ownership” team alongside Product, Design, and Data Science. Implement and release new features with a focus on backend stability and scalability. Help build solutions to handle high-volume data processing for fraud detection. Maintain and improve the internal tooling frontends (React) used for investigations. Troubleshoot existing software, squash bugs, and learn how to optimize database performance. Participate in technical discussions and learn best practices for Infrastructure a

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! We are growing our engineering team at Trustpilot and are looking to welcome a Software Engineer I into the Trust Tech department! You will join a cross-functional team with full ownership of our products and codebase, where you will take part in every step of the development process, from ideation to maintenance. This is a place where you can grow as an individual, learn from senior mentors, and have a real influence on the direction of our projects. About the team: You will be joining a brand new team being built within the Trust Tech department, focusing specifically on businesses. The team is responsible for building and maintaining automated systems that enforce Trustpilot’s terms of use for businesses. This includes developing systems for automatic detection, enforcement of misuse, and internal investigation tools. This work is vital to maintaining Trust and Transparency on the platform. To achieve this, we collaborate closely with Data Scientists, Data Ops, and ML Ops to build sophisticated automated architectures that integrate detection models and robustly scale our misuse enforcement. What you’ll be doing: Work in a cross-functional “full ownership” team alongside Product, Design, and Data Science. Implement and release new features with a focus on backend stability and scalability. Help build solutions to handle high-volume data processing for fraud detection. Maintain and improve the internal tooling frontends (React) used for investigations. Troubleshoot existing software, squash bugs, and learn how to optimize database performance. Participate in technical discussions and learn best practices for Infrastructure a

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! We are growing our engineering team at Trustpilot and are looking to welcome a Software Engineer I into the Trust Tech department! You will join a cross-functional team with full ownership of our products and codebase, where you will take part in every step of the development process, from ideation to maintenance. This is a place where you can grow as an individual, learn from senior mentors, and have a real influence on the direction of our projects. About the team: You will be joining a brand new team being built within the Trust Tech department, focusing specifically on businesses. The team is responsible for building and maintaining automated systems that enforce Trustpilot’s terms of use for businesses. This includes developing systems for automatic detection, enforcement of misuse, and internal investigation tools. This work is vital to maintaining Trust and Transparency on the platform. To achieve this, we collaborate closely with Data Scientists, Data Ops, and ML Ops to build sophisticated automated architectures that integrate detection models and robustly scale our misuse enforcement. What you’ll be doing: Work in a cross-functional “full ownership” team alongside Product, Design, and Data Science. Implement and release new features with a focus on backend stability and scalability. Help build solutions to handle high-volume data processing for fraud detection. Maintain and improve the internal tooling frontends (React) used for investigations. Troubleshoot existing software, squash bugs, and learn how to optimize database performance. Participate in technical discussions and learn best practices for Infrastructure 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 As a leading player in the internet economy, Stripe has a responsibility to protect itself, our users, end customers, and the broader financial ecosystem from harm. Fraud Operations proactively reduces fraud, making it difficult and unprofitable for fraudsters to carry out attacks through Stripe. We build scalable, high-judgement investigation and review operations while minimizing user friction. We work across products, customer segments, and markets and serve as a core pillar of Stripe’s risk strategy. What you’ll do Stripe is hiring a Team Lead to develop a team of Operations Associates (OAs) within Fraud Operations in Bangalore. You will be responsible for the day-to-day operational execution and performance of your workflow(s), including queue health, SLA attainment, and decision quality. This role requires staying close to the work, remaining hands-on in complex casework (QA and targeted production), modeling high-quality decisioning, providing real-time coaching, and serving as the first-line escalation owner. You will also drive unit-level operational excellence. To be a fit, you will have a coaching mindset, proven ability to communicate at different levels, a track record of driving operational performance, and a passion for inspiring a team to deliver outstanding results. Responsibilities Manage a team of Operations Associates; set clear expectations, coach performance, and build a high-judgement culture rooted in strong decis

We're building the bank of The Free, and protecting users and resolving fraud reliably is core to our mission. We're transforming Fraud Ops from a reactive function into an AI-led capability that gets faster, smarter, and more accurate with every case. That transformation needs one person to own it end-to-end. Up for this challenge? Kick off your application by taking our assessment and find out if bunq is your perfect match! 🕵️ Take Ownership As our Fraud Expert for Partner Reports, you'll own the end-to-end handling of every fraud case that reaches bunq through an external partner, from the individual report to the systemic fix to AI-led transformation. Own every fraud report escalated by our partners yourself: banks, payment schemes, card networks, and other external parties flag suspicious or fraudulent activity tied to bunq accounts, and you make sure each one is investigated, resolved, and closed out with our partner, with no case falling through the cracks. Identify the failure patterns behind recurring or high-risk partner reports, own the structural fixes, and drive AI-led automation that lets partner-report handling scale through intelligence rather than headcount. Hold full KPI accountability for speed, accuracy, and partner and user satisfaction: you distinguish structural design flaws from noise, and you don't stop until the fix is permanent. You have deep knowledge of Fraud Operations, investigation methodologies, and the regulatory and partner obligations that govern cross-institutional fraud reporting (card schemes, correspondent banks, cross-border requirements). You have hands-on experience handling complex fraud cases and escalations, including those raised by external partners. You know how to diagnose operational problems with data and drive permanent structural fixes, not workarounds. You can design and implement AI-led workflows - you build processes with AI at the core and can own an automation roadmap end-to-end. You're an excellent communi

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 Risk Engineering builds the systems that protect Stripe from fraud, credit losses, and regulatory risk across user onboarding, compliance, financial crimes, and identity verification. Financial Crimes Engineering builds the systems and controls that let Stripe safely onboard businesses in emerging and regulated industries while keeping Stripe in compliance with sanctions law, anti-money-laundering rules, and financial partner requirements. We keep known bad actors off Stripe, find new through ongoing detection, and build AI-augmented tooling that helps expert reviewers resolve cases quickly and accurately. We operate at scale, screening every user, enforcing jurisdictional restrictions across money movement in real time, and automating signal acquisition and synthesis into investigation workflows. We're now re-architecting our screening platform to make it safe and easy for new Stripe products to launch with the right financial crimes controls, to express richer policy as code, and to serve as a multi-tenant Risk Platform offering across Stripe's products and subsidiaries. What you'll do As a Staff Engineer on Financial Crimes Engineering, you'll own technical direction across our screening, detection, and review systems. You'll design infrastructure that balances screening latency with accuracy, build the systems that surface emerging risk and collect information to resolve it, and ensure investigators have the tooling they need.

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 Risk Engineering builds the systems that protect Stripe from fraud, credit losses, and regulatory risk across user onboarding, compliance, financial crimes, and identity verification. Financial Crimes Engineering builds the systems and controls that let Stripe safely onboard businesses in emerging and regulated industries while keeping Stripe in compliance with sanctions law, anti-money-laundering rules, and financial partner requirements. We keep known bad actors off Stripe, find new through ongoing detection, and build AI-augmented tooling that helps expert reviewers resolve cases quickly and accurately. We operate at scale, screening every user, enforcing jurisdictional restrictions across money movement in real time, and automating signal acquisition and synthesis into investigation workflows. We're now re-architecting our screening platform to make it safe and easy for new Stripe products to launch with the right financial crimes controls, to express richer policy as code, and to serve as a multi-tenant Risk Platform offering across Stripe's products and subsidiaries. What you'll do As a Staff Engineer on Financial Crimes Engineering, you'll own technical direction across our screening, detection, and review systems. You'll design infrastructure that balances screening latency with accuracy, build the systems that surface emerging risk and collect information to resolve it, and ensure investigators have the tooling they need.

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

Senior Manager, Logistics Security Description - At HP, we create technology that helps people and businesses bring their ideas to life. Our global supply chain plays a vital role in that mission, moving high-value products safely and reliably to customers around the world. We are looking for a collaborative and solutions-oriented Senior Manager, Logistics Security to help protect our logistics network, strengthen transportation risk programs, and lead efforts that reduce loss, improve carrier performance, and support a secure customer experience. Core responsibilities Own logistics security strategy for HP's transportation network. Manage loss, theft, damage, shortage and mis-delivery incidents across carriers, warehouses and distribution partners. Lead transportation claims management, including investigation, documentation, recovery and settlement. Manage relationships with major LSPs, carriers, freight forwarders and 3PLs. Investigate high-value shipment incidents and identify root causes. Develop controls to prevent cargo theft, fraud, unauthorized access and product diversion. Establish security standards for transportation lanes, warehouses and high-risk locations. Track claims and losses using KPIs such as: Claim $ / shipment Loss rate Damage rate Theft incidents Recovery % Claim cycle time Carrier performance Partner with Supply Chain, Logistics, Finance, Legal, Compliance, Security and Insurance teams. Lead corrective/preventive actions with logistics service providers. Review carrier contracts and ensure appropriate liability and insurance coverage. Establish escalation processes for major incidents. Conduct risk assessments of logistics providers and distribution locations. Use dat