Fraud Operations Analyst Jobs

A BOUT TIDE At Tide, we help SMEs save time and money in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions, from invoicing to accounting. Tide is transforming the small business banking market and now supports over 2 million members globally across the UK, India, Germany and France. Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data driven decisions to serve our mission: to help SMEs save time and money so they can get back to doing what they love. Tide facts: Tide is available for UK, Indian, German and French SMEs Over 2 million members globally and rapidly growing Over $300 million raised in funding 3,000 Tideans globally Recognised with Great Place to Work certification three years in a row, and among India’s Top 50 Best Workplaces in Banking, Financial Services, and Insurance in 2026 We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram, New Delhi, Berlin, Paris and Luxembourg WHAT WE ARE LOOKING FOR: This is an exciting opportunity for someone who is passionate about Fraud and Financial Crime, leading teams, and using technology and data to constantly improve processes and service. This position will suit a proven operational team leader who is keen to join a fast growing European-focused Fintech. As a Fraud Investigations Analyst you’ll be: Conduct end-to-end investigations into suspected fraud, scams, chargebacks, and financial crime activity Analyse transactions, customer behaviour, and supporting documentation to identify fraud typologies and patterns Review alerts generated by fraud monitoring systems and take appropriate action (account restrictions, closures, clearlistin

About Us Tamara is a leading fintech platform in Saudi Arabia and the GCC region with a mission to help people own their dreams built on being simple, trusted, and everywhere our customers need us. Today, more than 25 million customers and over 130,000 partner merchants depend on Tamara every day for reliable financial solutions across retail, travel, education, healthcare, and beyond. Tamara is backed by Sanabil Investments, a wholly owned company of the Public Investment Fund (PIF), and SNB Capital, among others. Your Role As a Trust & Safety Quality Analyst , you will be responsible for the end-to-end quality assurance (QA) framework within the Trust & Safety department. You will evaluate the work of Fraud Investigators to ensure they meet our rigorous standards for accuracy, regulatory compliance, and customer experience. Responsibilities QA Framework Design: Develop and refine the Quality Assurance scorecard and evaluation methodology for both Consumer and Merchant fraud investigations. Operational Calibration: Lead weekly "Deep-Dive" sessions with Team Leads and Investigators to align on decision-making logic. You are responsible for ensuring there is zero "quality variance" across different shifts and locations. Feedback & Coaching: Deliver constructive, data-driven feedback to Investigators and Team Leads. You will facilitate "calibration sessions" to ensure all team members are aligned on what "high quality" looks like. Root Cause Analysis: When a fraud loss occurs, you lead the "Operational Post-Mortem." You identify if the failure was a human error, a training gap, or a tool malfunction, and you drive the immediate fix. Process & Product Improvement: Partner with Product and Engineering teams to advocate for tool enhancements. Use quality data to suggest product features that reduce manual work, improve detection accuracy, and automate repetitive verification steps. High-Risk Decision Support: Provide guidance on complex, high-stakes inves

Integra is hiring entrepreneurial and quantitatively-skilled students/graduates with data analytics experience who are interested in translating their academic interests into the real-world applications to identify, investigate and analyze fraud in various domains, including finance, healthcare and cryptocurrencies. Integra is a boutique economic consulting and forensic analytics firm that has worked with government agencies and private entities to analyze many complex and high-profile schemes. Our team applies data science and econometric techniques and intensely values each employee to take initiative and to be curious while operating as a data detective to solve complex problems. Our main office is also conveniently located adjacent to the UT Austin campus which enables us to closely interface with the academic environment and the university’s top intellectual talent. As an intern you will code software used to automate processes, scrape and collect large data sets, and perform advanced econometric analysis. You will have flexibility in the programming language used, but scripting languages such as R, Python, and SQL are used most often. The internship is also designed to give you: Exposure to how technical degrees such as economics, statistics, finance, engineering, computer science, and physics are used in industry Opportunities to work on team-based and individual projects Visibility to industry experts Job Qualifications Familiarity with R, SQL, Python, or other scripting languages Proficiency in Microsoft Excel Attention to detail with big-picture understanding Ability to work well in teams Highest ethical standards All education levels (Bachelor's, Master's, or Ph.D.) welcome 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 is hiring entrepreneurial and quantitatively-skilled students/graduates with data analytics experience who are interested in translating their academic interests into the real-world applications to identify, investigate and analyze fraud in various domains, including finance, healthcare and cryptocurrencies. Integra is a boutique economic consulting and forensic analytics firm that has worked with government agencies and private entities to analyze many complex and high-profile schemes. Our team applies data science and econometric techniques and intensely values each employee to take initiative and to be curious while operating as a data detective to solve complex problems. Our main office is also conveniently located adjacent to the UT Austin campus which enables us to closely interface with the academic environment and the university’s top intellectual talent. As an intern you will code software used to automate processes, scrape and collect large data sets, and perform advanced econometric analysis. You will have flexibility in the programming language used, but scripting languages such as R, Python, and SQL are used most often. The internship is also designed to give you: Exposure to how technical degrees such as economics, statistics, finance, engineering, computer science, and physics are used in industry Opportunities to work on team-based and individual projects Visibility to industry experts Job Qualifications Familiarity with R, SQL, Python, or other scripting languages Proficiency in Microsoft Excel Attention to detail with big-picture understanding Ability to work well in teams Highest ethical standards All education levels (Bachelor's, Master's, or Ph.D.) welcome 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 FEC (Financial Economic Consulting) is hiring entrepreneurial and quantitatively-skilled individuals with data analytics experience who are interested in applying their skills to identify, investigate and analyze fraud in various domains, including finance, healthcare and cryptocurrencies. Integra is a boutique economic consulting and forensic analytics firm that has worked with government agencies and private entities to analyze many complex and high-profile schemes. Our team applies data science and econometric techniques and intensely values each employee to take initiative and to be curious while operating as a data detective to solve complex problems. Main responsibilities include: Plan, develop, and take ownership in data-intensive investigations of financial fraud Conduct background research to develop hypotheses of where fraud occurs Write scripts to retrieve and organize data; parse free-form text fields, images, and spreadsheets to derive insights Construct and analyze large datasets to find fraudulent patterns; develop quantitative and empirical methods to detect where fraud occurs Summarize and present findings to technical and non-technical audiences Job Qualifications: Required Background in statistics, mathematics, engineering, computer science, data science, economics, or other quantitative field Demonstrated experience with R, Python, and/or SQL Attention to detail Intellectual curiosity and interest in fraud analysis Highest ethical standards Strong teamwork abilities Preferred 2+ years of relevant full-time experience. Excellent skills in R, Python, and/or SQL Knowledge of financial concepts and principles Demonstrated aptitude for research 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.

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the Risk & Analytics Team The Risk & Analytics (R&A) team makes crucial decisions that direct Affirm’s business strategy. We partner with Machine Learning, Product, Engineering, Capital Markets, and Commercial teams to grow Affirm responsibly by optimizing approval, conversion, losses, and profitability. Operating across the entire customer and merchant lifecycle, we tackle a diverse array of challenges, from optimizing checkout conversion and mitigating fraud risk to building scalable data foundations and enabling international growth. We analyze performance not just to report on it, but to determine where to invest resources for maximum impact through building tools, scalable data infrastructure, and analytical frameworks. We improve the analytics experience across Affirm by streamlining workflows and fostering a culture of learning and documentation. By taking ownership of the entire analytical lifecycle, from initial question to final business decision, we turn complex data and systems into clear, actionable signals that ensure Affirm grows efficiently and intelligently. One Role, Multiple Teams We are hiring multiple Senior Analyst roles across Affirm's Risk & Analytics organization through this single job posting. Rather than interviewing for one specific team, candidates will go through a shared interview process designed to assess the core skills we look for across R&A. If selected, we will work with you to determine the best team match based on your interests, experience, strengths, and current business needs. You will have the opportunity to learn more about our teams and share your preferences as you move through the process. Potential team placements include: Point of Sale (POS): Optimize merchant and checkout performance to improve conversion, approval

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. Our Fraud Intelligence team's mission is to turn fraud signals into insight that our EPD teams transform into improvements across Protect, IDV, Signal, and Guaranteed Payments. We believe transaction patterns, device signals, identity linkages, and behavioral data are dramatically underleveraged tools in fraud prevention, and we ground our products in what adversaries are actually doing right now. As the Fraud Intelligence Lead, you will build and run a small, high-leverage team of Fraud Intelligence Analysts (and eventually a Staff Researcher) responsible for live casework across Protect, IDV, and Payments/ACH. You'll operate as a player-coach, hiring and coaching your team while staying close enough to the work to personally pick up casework and SEV response when needed. Responsibilities Team Building & People Leadership Set the casework quality bar: define what rigorous investigation, triage, and reporting look like for the team Coach analysts on investigation technique, pattern synthesis, and translating findings into product/model input Operating Model & Cross-PA Partnership Own coverage allocation across the Protect/IDV and Payments/ACH pods, including flexing assign

About Us Small businesses are the backbone of the US economy, comprising almost half of the GDP and the private workforce. Yet, big banks don’t provide the access, assistance and modern tools that owners need to successfully grow their business. We started Novo to challenge the status quo—we’re on a mission to increase the GDP of the modern entrepreneur by creating the go-to banking platform for small businesses (SMBs). Novo is flipping the script of the banking world, and we’re excited to lead the small business banking revolution. At Novo, we’re here to help entrepreneurs, freelancers, startups and SMBs achieve their financial goals by empowering them with an operating system that makes business banking as easy as iOS. We developed modern bank accounts and tools to help to save time and increase cash flow. Our unique product integrations enable easy access to tracking payments, transferring money internationally, managing business transactions and more. We’ve made a big impact in a short amount of time, helping thousands of organizations access powerfully simple business banking. Why Novo? Novo is a rapidly growing series B fintech startup with a mission-driven team that’s passionate about helping every small business in America Positive, inclusive, supportive culture cheering you on your journey We work with very new technologies and architecture patterns Offices in NYC and India We are looking for a KYC Analyst who understands how to ensure that our platform can continue operating in an efficient manner while minimizing downside losses and reducing friction in the onboarding process. If you're passionate about working for a revolutionary early-stage startup, poised for rapid growth and expansion then we want to chat. Are you ready to revolutionize the small business banking industry with us? About the Role Identify, monitor, evaluate and address customer account actions to address potential risk, fraud or suspicious activity. Understand and manage KYC and AML pr

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the Risk & Analytics Team The Risk & Analytics (R&A) team makes crucial decisions that direct Affirm’s business strategy. We partner with Machine Learning, Product, Engineering, Capital Markets, and Commercial teams to grow Affirm responsibly by optimizing approval, conversion, losses, and profitability. Operating across the entire customer and merchant lifecycle, we tackle a diverse array of challenges, from optimizing checkout conversion and mitigating fraud risk to building scalable data foundations and enabling international growth. We analyze performance not just to report on it, but to determine where to invest resources for maximum impact through building tools, scalable data infrastructure, and analytical frameworks. We improve the analytics experience across Affirm by streamlining workflows and fostering a culture of learning and documentation. By taking ownership of the entire analytical lifecycle, from initial question to final business decision, we turn complex data and systems into clear, actionable signals that ensure Affirm grows efficiently and intelligently. One Role, Multiple Teams We are hiring multiple Analyst I roles across Affirm's Risk & Analytics organization through this single job posting. Rather than interviewing for one specific team, candidates will go through a shared interview process designed to assess the core skills we look for across R&A. If selected, we will work with you to determine the best team match based on your interests, experience, strengths, and current business needs. You will have the opportunity to learn more about our teams and share your preferences as you move through the process. Potential team placements include: Point of Sale (POS): Optimize merchant and checkout performance to improve conversion, approvals, an

Data Scientist II, Cohere Health, Inc., Boston, Massachusetts (Remote) Duties: Gather business requirements and apply trend analysis to identify actionable insights using analytic tools. Analyze healthcare claims and authorization data to identify outliers, interpret patterns, and assess trends and opportunities. Apply large language models (LLMs), stochastic optimization methods, and related technologies to support decision-making. Monitor industry trends, regulatory changes, and emerging fraud schemes to support detection strategy development, maintain methodology documentation, and present findings to leadership. Train, fine-tune, and implement LLMs and deep learning models for tasks such as anomaly detection, classification, and automated analysis of security-related or operational data. Analyze datasets to assess expected impacts and return on investment, including effects on medical expense, administrative cost, and clinical outcomes. Develop data models, algorithms, and simulations to support analytical objectives. Build visualizations and dashboards to communicate analytical findings and support business workflows. This is a fully remote position and may be performed from anywhere within the United States. Occasional travel to company headquarters in the U.S. for onboarding, team meetings, and company events may be required. Requirements: Must have a Master’s degree in Data Science, Statistics, Biostatistics or related field (willing to accept foreign education equivalent) and 36 months of experience as Analyst or related position analyzing datasets. Must possess three (3) years of experience (may be gained concurrently with above experience) in the following skills: Analyzing healthcare datasets, including EMR/EHR data, medical and pharmacy claims data, and Social Determinants of Health (SDoH) data; Performing data quality analysis to identify data quality issues, gaps, or inconsistencies; Building scalable AWS Airflow pipelines to ingest, integrate, and tr

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

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Consumer Authentication Platform team is looking for a passionate Senior Software Engineer to help build the secure, reliable, and seamless authentication experiences that connect millions of consumers with Affirm’s financial products. Authentication is the front door to Affirm. Our systems power critical consumer journeys (including sign-up, sign-in, account recovery, checkout authentication, step-up challenges, session management, and connected merchant experiences) across thousands of merchants and multiple countries. We build foundational capabilities such as authentication factors, identity federation, session and authorization services, and risk-based authentication that protect consumers while minimizing unnecessary friction. We work closely with Product, Security, Fraud, Identity, Analytics, Compliance, Data Science, and a wide range of engineering teams to both leverage existing systems and build new systems. This role requires a high level of technical capability, strong cross-functional communication, and a creative mindset. Our work needs to be secure, reliable, correct, scalable, and extensible. Our job is to build an authentication platform that balances security, regulatory requirements, fraud prevention, customer experience, and business growth. As a senior engineer, you will lead significant technical initiatives, influence the architecture and evolution of the platform, and help the team deliver secure authentication capabilities that can be reused across products, merchants, and geographies. What You’ll Do You will own the technical design and delivery of significant authentication platform capabilities, leading projects from early requirements and architecture through implementation, rollout, and ongoing operation. You will build secure, highly available systems that

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Manager, Product Management Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Mastercard’s Services team is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Role: Advanced Analytics drives AI-based solutions and products at a globally scalable level across different customer lifecycle stages, credit risk management, operational and strategic analytics. Customer engagement and acquisition using our data assets serve as key differentiators to optimize and grow revenue for our retail and comme

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. The head of EMEA Refund Fraud will lead Doordash’s EMEA strategy for preventing and managing refund abuse across our marketplace. You will be accountable for the performance of the Credit and Refund (C&R) Fraud domain: setting the long-term vision, determining where we focus our resources, and building the team, controls and capabilities required to reduce fraud sustainably while protecting the experience of genuine customers. This is a senior leadership role at the intersection of Integrity, Customer Care, Product, Engineering, Analytics and Finance. You will lead a team of experienced fraud and strategy professionals and work with senior leaders across Deliveroo to make complex decisions about fraud risk, customer experience, operational cost and product investment. You will need to be comfortable operating in ambiguity, identifying problems before they become material, and turning complex and sometimes incomplete signals into a clear strategy. Success will come not from personally solving every problem, but from creating the direction, operating mechanisms and team that enable Deliveroo to manage refund fraud effectively at scale. What You’ll Be Doing Setting the C&R Fraud Strategy Set and own the 1–2 year vision and strategy for C&R Fraud, translating wider Integrity and business priorities into a focused roadmap. Proactively identify emerging risks, systemic vulnerabilities and opportunities rather than waiting for problems to be assigned. Determine the highest-value problems for the team to solve and make clear choices about where we should (and should not) invest. Define how we balance fraud loss, customer experience, operational cost and growth when desig

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. On the ML Fraud team, you’ll build and improve machine learning systems that make real-time transaction decisions, protecting consumers and merchants while balancing fraud loss, customer experience, and conversion. You’ll work closely with experienced ML engineers, platform partners, and cross-functional stakeholders to take models from idea to prototype to production, and to keep them healthy with strong measurement and monitoring as fraud patterns evolve. What you’ll do - You will lead development of new fraud prediction models using a mix of approaches for tabular, graph, and behavioral data - You will build and scale feature pipelines and training datasets from proprietary and third-party signals, partnering with data and platform teams when needed. - You will prototype new modeling ideas and features, run offline experiments, and drive the best-performing approaches into production with appropriate risk controls. - You productionize models: integrate into batch and/or real-time decision systems, and improve reliability, latency, and operational robustness. - You will instrument and monitor model and data health, and help define retraining/backtesting workflows as fraud patterns evolve. - Identify and implement foundational improvements to how the team builds models. - You will collaborate across Engineering, Fraud Analytics, Product, and ML Platform to define requirements, evaluate tradeoffs, and communicate results clearly to both technical and non-technical audiences. What we look for - You have 6+ years experience researching, training, tuning and launching ML models at scale. Relevant PhD can count for up to 2 years of experience. - Track record of delivering high impact machine learning models in a low latency live setting - Strong Python skil