Fraud Operations Analyst Jobs

At Breeze, we're building the AI-powered infrastructure layer for global commerce, making it radically simpler for businesses to sell, get paid, and operate across markets. We go far beyond traditional payment processing. Breeze combines global payments, AI, stablecoins, and a Merchant of Record-like model to take on the complexity businesses typically manage themselves, including compliance, risk, fraud, chargebacks, reconciliation, and customer support. Our goal is simple: let businesses focus on building and selling great products while Breeze handles the complexity behind getting paid. Backed by Sequoia Capital , Multicoin Capital , and The Chainsmokers , Breeze is a successful, rapidly growing, and exceptionally well-capitalized company. We have the runway to think long term while remaining early enough that every person joining today can have a meaningful impact on what we build. We are hiring a Staff Machine Learning Engineer, Risk! As our Staff Machine Learning Engineer, Risk, you'll lead the evolution of our ML platform for payment risk, building the production-grade capabilities behind feature engineering, model training, deployment, monitoring, and continuous improvement. Risk decisions sit at the center of our business, and you'll own how those models get built, shipped, and kept healthy. This role reports to the CTO. You'll work closely with Risk, Software Engineering, and Data Engineering, and you'll be the senior technical voice for ML on the risk team. We're looking for someone who thrives in fast-moving environments, wants meaningful ownership, and is excited to build rather than simply maintain. What You'll Do Design and build ML infrastructure for payment risk detection, using Databricks as the core platform, in close partnership with software and data engineers. Bring structure to the team's ML environment: feature pipelines, versioning, job orchestration, and monitoring. Design and productionize models rather than just prototype them, including

Starting Hourly Rate / Salario por Hora Inicial: $21.00 USD per hour ALL ABOUT TARGET Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here. ALL ABOUT ASSETS PROTECTION Assets Protection ( AP ) teams function to keep our guests, team and brand secure and lead through crisis events. They protect profitable sales by mitigating shortage risks, preventing, and resolving theft and fraud to ensure product is available for our guest . They also build relationships inside and outside of Target , including store leaders and public safety officials, inclusive of law enforcement. At Target , we believe in our team members having meaningful experiences that help them build and develop skills for a career. The role of a Target Security Specialist can provide you with the skills and experience of : <sp

Starting Hourly Rate / Salario por Hora Inicial: $20.00 USD per hour ALL ABOUT TARGET Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here. ALL ABOUT ASSETS PROTECTION Assets Protection ( AP ) teams function to keep our guests, team and brand secure and lead through crisis events. They protect profitable sales by mitigating shortage risks, preventing, and resolving theft and fraud to ensure product is available for our guest . They also build relationships inside and outside of Target , including store leaders and public safety officials, inclusive of law enforcement. At Target , we believe in our team members having meaningful experiences that help them build and develop skills for a career. The role of a Target Security Specialist can provide you with the skills and experience of : <sp

The Opportunity We’ve built out a best-in-class data asset and AI tools about businesses in the US. We are continually expanding our data coverage to ensure our product is a one-stop-shop for KYB, onboarding, assessing fraud risk, creating and managing sales/marketing campaigns to US businesses. We need to ensure we are constantly keeping an eye out for new data sources that will enhance our product, as well as ensuring every data partnership we use today continues to add value. What You'll Do We’re looking for someone who will anticipate Enigma’s data needs based on the company strategy and near term goals. You’ll source new data partners to strengthen Enigma’s data assets and overall product, both opportunistically and as requested by internal product and engineering teams. You’ll be responsible for the management and ongoing growth of our internal source of truth data. You’ll also be responsible for evaluating the data quality of new partners’ data and owning the integration of that data. You’ll manage relationships with data partners - all the way from sourcing data, negotiating contracts and managing data budgets to assessing data partner performance and negotiating renewals. You’ll collaborate with Legal, Finance, Product and Engineering. This is a role with a high-level of accountability. You will need to anticipate the data needs of internal teams well before they need the data to make sure they are not blocked. You’ll need to drive forward conversations and evaluations with data partners, even when these are not high priority in the near term for other stakeholders. We Are Looking for Someone Who Is fluent in SQL, passionate about analyzing data, and knows the difference between data that only looks good in a sample and data that holds up once it’s in production. Has very strong negotiating chops - you understand how to “give and take” to get the best deal Is an expert at relationship management Operates with a sense of urgency and perseveres through

Starting Hourly Rate / Salario por Hora Inicial: $20.25 USD per hour ALL ABOUT TARGET Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here. ALL ABOUT ASSETS PROTECTION Assets Protection ( AP ) teams function to keep our guests, team and brand secure and lead through crisis events. They protect profitable sales by mitigating shortage risks, preventing, and resolving theft and fraud to ensure product is available for our guest . They also build relationships inside and outside of Target , including store leaders and public safety officials, inclusive of law enforcement. At Target , we believe in our team members having meaningful experiences that help them build and develop skills for a career. The role of a Target Security Specialist can provide you with the skills and experience of : <sp

Banking hasn't changed much in decades. We're changing that. One product at a time. Lunar is a Nordic challenger bank building the future of financial life with AI at the core. Our engineers, designers, and product people work on problems that actually matter. Making money simpler, smarter, and more rewarding for millions of people across the Nordics. Fully licensed and founded in 2015, with offices in Copenhagen, Aarhus and Stockholm. We move fast, we build with purpose, and we're just getting started. As our new (Senior) Data Scientist you'll join our team based in Aarhus, reporting to Eugene, our Senior Engineering Manager, working to bring data and machine learning into how we prevent fraud, manage risk, and grow the business. What will you do? Design, build, and deploy machine learning and statistical models across fraud detection, transaction monitoring, loan risk assessment, customer risk scoring, and sales and lead generation Build and operate experimentation and evaluation frameworks — using tools like MLflow and Metaflow — with strong test sets and benchmarks across projects Dive into data analysis and feature engineering to keep pushing model performance further Partner closely with data engineers, analysts, and business stakeholders to define requirements and turn insight into decisions Document models, methodologies, and results clearly, and bring the latest ML and GenAI advances into how Lunar builds What are we looking for in you? Experience developing and deploying machine learning models in a production environment Proficiency in Python and relevant ML libraries (e.g., scikit-learn, TensorFlow, PyTorch) Experience with cloud-based ML platforms such as AWS SageMaker or Kubeflow Solid grounding in machine learning, statistical modeling, and data analysis techniques — experience in financial services or another regulated industry is a plus Strong problem-solving and communication skills, with the ability to translate technical concepts into business in

Starting Hourly Rate / Salario por Hora Inicial: $21.50 USD per hour ALL ABOUT TARGET Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here. ALL ABOUT ASSETS PROTECTION Assets Protection ( AP ) teams function to keep our guests, team and brand secure and lead through crisis events. They protect profitable sales by mitigating shortage risks, preventing, and resolving theft and fraud to ensure product is available for our guest . They also build relationships inside and outside of Target , including store leaders and public safety officials, inclusive of law enforcement. At Target , we believe in our team members having meaningful experiences that help them build and develop skills for a career. The role of a Target Security Specialist can provide you with the skills and experience of : <sp

Starting Hourly Rate / Salario por Hora Inicial: $19.00 USD per hour ALL ABOUT TARGET Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here. ALL ABOUT ASSETS PROTECTION Assets Protection ( AP ) teams function to keep our guests, team and brand secure and lead through crisis events. They protect profitable sales by mitigating shortage risks, preventing, and resolving theft and fraud to ensure product is available for our guest . They also build relationships inside and outside of Target , including store leaders and public safety officials, inclusive of law enforcement. At Target , we believe in our team members having meaningful experiences that help them build and develop skills for a career. The role of a Target Security Specialist can provide you with the skills and experience of : <sp

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. Plaid Protect is a real-time fraud intelligence product built on a unique advantage: Plaid’s network-level visibility across bank accounts, devices, identities, sessions, institutions, applications, and financial behavior. Protect helps customers detect first-party fraud, synthetic identities, account takeovers, and coordinated attacks that are difficult to see from a single application, account, or transaction. Trust Index turns that fraud intelligence into real-time fraud scores and actionable attributes. This team builds the systems that make this intelligence possible: low-latency inference, new data and model integrations, customer-facing APIs and attributes, safe rollouts, and feedback loops. Ti3 expanded Plaid’s fraud graph nearly 10x and, in early testing, detected up to 41% more fraud at the same false-positive rate. Learn more about Ti2 and Ti3 . We are a small, high-agency team working closely with Product, Data Science, and Machine Learning. We value demos over docs, conviction over consensus/alignment, builder schedule over meeting-heavy calendars. We’re scrappy and a talent-dense team that has high agency and high ownership. As a Staff Software Engineer on the Protect Core team, you wi

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.

Build something people love Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $155 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual and learn more about how we work . About the Team The Financial Risk Engineering team builds the tooling that keeps Wealthsimple's clients safe from fraud, without getting in the way of the experience they signed up for. We sit at the intersection of engineering, product, compliance, fraud countermeasures, and data science, and we're the ones who turn that intersection into working systems. We move fast, but we build thoughtfully. Every decision here is a real trade-off between risk and experience, and we take that seriously. If you want to work on problems where the stakes are real and the answers aren't obvious, this is the team for it. About the Role As Manager of Software Development for Financial Risk, you'll lead the team responsible for how Wealthsimple detects and responds to fraud. This is a hands-on technical leadership role: you'll set the roadmap, but you'll also be in the work when it counts. You'll be the connective tissue between engineering, product, compliance, fraud countermeasures, and data science, making sure those teams are solving the same problem instead of five different ones. In this role you'll have the opportunity to Own and evolve the technical roadmap for the Financial Risk Engineering team Act as the connective layer between engineering, product, compliance, fraud countermeasures, and data science Stay hands-on: jump into the codebase, weigh in o

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 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

About Appier Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. Role Mission As our Digital Advertising Data Analyst, you won't just be moving data—you'll be defending our revenue and driving our growth. You will bridge the gap between complex datasets and high-pressure business decisions. Whether you are uncovering a campaign's "hidden" success to secure a contract renewal or identifying sophisticated ad fraud to protect a client's budget, your insights will be the backbone of our commercial strategy. Key Responsibilities Performance Optimization : Analyze real-time campaign data to provide actionable "pivot" suggestions that directly improve client KPIs. Fraud Defense : Develop and maintain fraud detection reports to proactively address client concerns and ensure high-quality traffic. Stakeholder Communication : Present findings clearly to management and clients, often in high-pressure situations where data must be the "voice of reason." Technical Requirements To succeed in this role, you must be a power user of our primary stack: SQL: Expert level. Ability to rapidly write complex, performant queries across large, nested datasets. Python: Proficient in data manipulation (Pandas/NumPy) and automating repetitive reporting tasks. Tableau: Ability to build intuitive, client-facing dashboards that tell a story at a glance. Google Sheets: Advanced capabilities for quick-turnaround tactical analysis. The Ideal Candidate Battle-Tested: You have thick skin. You can stay calm and objective when presenting data to stressed stakeholders or skeptical clients. Business Intuition

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 Payment Intelligence is comprised of multiple product teams building AI-first solutions to some of our customers’ biggest challenges, including fraud/abuse ( Radar ), payment optimizations ( AuthBoost ), Disputes, Authentication, and merchant analytics. We’re a mix of machine engineering engineers and full-stack software engineers impacting ~every Stripe transaction, creating revenue opportunities for Stripe and our customers, and helping protect the broader ecosystem. We have the benefit and privilege of working on cutting edge technologies with incredible scale and reach while also working directly with our merchants every day to build the right products for their needs. What you'll do As a Staff Engineer on Payment Intelligence, you’ll work across our product portfolio to ensure we’re building in a consistent, efficient, and effective manner. Experience with large, distributed systems on the critical path will help candidates succeed, as will comfort working across the stack and interacting with ML teams and models. Responsibilities Define technical strategy for multiple experiences across the Payment Intelligence portfolio, with a focus on quality and performance Champion a quality-first engineering culture - establish standards, tooling, and processes that make it easy to ship high-quality code at scale Partner with some of Stripe’s largest merchants to co-build the future of payment-centric intelligence Partner cross-functionally