Fraud Intelligence Lead Jobs

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

About the Team Our Data Science team is the Avengers to Meesho’s S.H.I.E.L.D 🛡️. And why not? We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. We’ve barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat. Our typical day involves dealing with fraud detection, inventory optimisation, and platform vernacularisation. As Data Scientist, you will navigate uncharted territories with us, discovering new paths to creating solutions for our users.🔍 You will be at the forefront of interesting challenges and solve unique customer problems in an untapped market. But wait – there’s more to us. Our team is huge on having a well-rounded personal and professional life. When we aren't nose-deep in data, you will most likely find us belting “Summer of 69” at the nearest Karaoke bar, or debating who the best Spider-Man is: Maguire, Garfield, or Holland? You tell us ☺️ About the Role Love deep data? Love discussing solutions instead of problems? Then you could be our next Data Scientist. In a nutshell, your primary responsibility will be enhancing the productivity and utilisation of the generated data. Other things you will do include working closely with the business stakeholders, transforming scattered pieces of information into valuable data and sharing and presenting your valuable insights with peers. What you will do Develop models and run experiments to infer insights from hard data Improve our product usability and identify new growth opportunities Understand reseller preferences to provide them with the most relevant products Designing discount programs to help our resellers sell more Help resellers better recognise end-customer preferences to improve their revenue Use data to identify bottlenecks that wi

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity New Relic's whole platform runs on an assumption: by the time a request reaches any service, someone has already answered two questions, who is this, and what are they allowed to do. The Access & Governance Platform team builds and runs the systems that answer both. On the authentication side, that means login, session and token management, and enterprise SSO integrations (SAML, OIDC, OAuth2) for customers who need to plug New Relic into their own identity provider. On the authorization side, it means the roles, capabilities, and grants model that every other team at New Relic checks against before letting a user touch anything. Because these services sit underneath everything else, the problems here are rarely simple CRUD. You're modeling access at the scale of every account and organization on the platform, keeping login working through traffic spikes and identity-provider outages, and building the self-service tooling other engineering teams use to adopt fine-grained authorization for their own services. You'll also carry on-call for these systems, because when they have a bad day, so does the rest of New Relic. What you'll do Use AI coding assistants daily, for implementation, debugging, and code review, as a normal part of how the team ships code. Build and operate authentication services, including SSO (SAML, OIDC), OAuth2/OIDC token issuance, session and token lifecycle, SCIM-based user provisioning, and bot/fraud defense, for both direct log

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. We’re looking for an intelligent, driven professional to join our Bank Model Risk Management (MRM) team. This team seeks to establish, maintain and oversee an effective MRM framework to identify, quantify, monitor, mitigate and report on model risk. You will have an outstanding opportunity to work cross-functionally to develop a profound understanding of models that drive critical business decisions, and add value to the Bank by mitigating risks due to ineffective model design or model misuse. What You'll Do Full-Stack Model Validation: Conduct rigorous, independent validations of sophisticated credit/fraud models—including machine learning and traditional statistical models—focusing on conceptual soundness, data integrity, and performance stability. Advanced Quantitative Monitoring: Develop automated, independent monitoring suites in Python to track KRI/KPI drift, population stability (PSI), and feature importance shifts in real-time. Remediation & Technical Advisory: Partner with 1st-line Model Developers to drive the remediation of validation findings, ensuring models and strategies are not only compliant but mathematically robust. Audit & Regulatory Liaison: Partner with Internal Audit, Internal Controls, and Compliance to facilitate the timely resolution of audit and regulatory requests. Affirm Bank: Work for the internal Bank team to support the build out of the Bank Model Risk Management function. Support the model validation requirements for Bank owned models. What We Look For 7+ years of professional experience in a highly technical capacity, such as Credit/Fraud/Financial Risk Modeling, Model Validation, or Quantitative Analytics Deep understanding of the consumer credit lifecycle and/or fraud detection. Technical familiarity with loss forecasting/fraud prediction, a

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. AI and intelligent systems are driving the fifth paradigm shift, following previous technological revolutions like mainframes, personal computers, the internet, and mobile devices. We believe, in the foreseeable future, AI will revolutionize the FinTech industry - from how consumers understand and manage their finances, to how developers build applications and how all companies operate. The fintech industry landscape will undergo a fundamental reshape. Plaid in the FinTech AI Ecosystem Plaid is uniquely positioned to become the financial data and insights backbone for AI applications and platforms in this evolving ecosystem. We believe consumers should be able to understand and manage their financial life through conversational AI interfaces using natural language. We believe consumers should have peace of mind with a trustworthy consent and authorization manager when agents shop for them. We believe identity verification and financial fraud prevention in AI-powered products should feel seamless and embedded for the end users. The list goes on. The most important AI companies, major fintechs, and customer agent platforms are actively trying to integrate Plaid into AI-powered produ

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. AI and intelligent systems are driving the fifth paradigm shift, following previous technological revolutions like mainframes, personal computers, the internet, and mobile devices. We believe, in the foreseeable future, AI will revolutionize the FinTech industry - from how consumers understand and manage their finances, to how developers build applications and how all companies operate. The fintech industry landscape will undergo a fundamental reshape. Plaid in the FinTech AI Ecosystem Plaid is uniquely positioned to become the financial data and insights backbone for AI applications and platforms in this evolving ecosystem. We believe consumers should be able to understand and manage their financial life through conversational AI interfaces using natural language. We believe consumers should have peace of mind with a trustworthy consent and authorization manager when agents shop for them. We believe identity verification and financial fraud prevention in AI-powered products should feel seamless and embedded for the end users. The list goes on. The most important AI companies, major fintechs, and customer agent platforms are actively trying to integrate Plaid into AI-powered produ

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Authentication & Tokenization Team Operating at the intersection of high-grade security and conversion optimization, our Authentication and Tokenization systems deliver robust solutions for global commerce. The Adyen Tokenization solution securely vaults payment credentials to enable seamless, friction-free checkout experiences worldwide while ensuring adherence to localized market regulations. Our Authentication engine dynamically optimizes transaction flows to eliminate checkout friction while maintaining strict compliance. Both products are core pillars of Adyen Uplift , an advanced, AI-powered payment optimization suite designed to drive peak performance for global enterprise merchants. By capitalizing on Adyen's vast, unparalleled global payments data, Adyen Uplift offers intelligent, AI-powered solutions that help businesses maximize payment conversions, streamline fraud management, and reduce the overall cost of transactions. Based in one of the world's most dynamic fintech hubs, our engineering team navigates intricate compliance frameworks, including the RBI's Card-on-File Tokenization (CoFT) and multi-factor authentication mandates. We design and scale low-latency, highly resilient distributed systems that process millions of daily transactions. Joining this team means taking complete, end-to-end ownership of mission-c

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 ABOUT THE ROLE: As a Dispute Analyst, you’ll be working in the Ongoing Monitoring team at Tide. To carry out this role efficiently, you need to be organised and able to remain calm under pressure. You will be responsible for investigating fraud and scam activities. Additionally, you will analyse transactions, gather evidence, and work closely with internal teams and external partners to detect and prevent fraudulent activities, protect customer assets, and ensure regulatory compliance. Strong communication skills are essential, as you will need to interact with Tide members and resolve their queries promptly. Your interpersonal skills will be crucial when working with many of Tide’s internal and external stakeholders,

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 What you’ll do As a Payments Fraud Investigator, you’ll play a critical role in safeguarding our financial ecosystem by investigating high-risk accounts and identifying various forms of fraud. You’ll conduct deep-dive analyses of merchant accounts, lead cross-functional projects, and collaborate with stakeholders to enhance our fraud detection and prevention strategies at scale. Your expertise in fraud patterns and typologies will be essential to developing and enhancing investigative processes and programs. Responsibilities Analyze high-risk accounts to identify fraudulent merchants, card testing, account takeovers, and other fraud vectors Lead root-cause analyses to identify gaps in current systems, policies, and strategies, and determine enhancements and process improvements to address emerging fraud risks in collaboration with key stakeholders Drive cross-functional projects aimed at refining operational processes and tools and enhancing the detection and management of fraudulent accounts across our global analyst network Investigate, mitigate, and remediate urgent fraud incidents, such as card testing and account takeover, and manage user responses to high-urgency, distributed fraud attacks Communicate regular updates during team and organization-wide business reviews, summarize the outcomes of complex investigations for executives, and deliver clear case determinations to users and partner financial institutions Travel to vendor lo

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 Fraud Architect team helps Stripe’s largest and most complex users manage fraud and abuse across the customer lifecycle. We combine deep fraud expertise, technical investigation, and product knowledge to help users understand emerging threats, optimize Radar, and implement durable prevention strategies tailored to their business and risk tolerance. Our goal is to enable users’ growth by proactively reducing fraud while protecting legitimate customer activity and turning frontline insights into better products and defenses. What you’ll do Stripe users face fraud and abuse across the customer lifecycle, including payment fraud, free-trial farming, multi-account abuse, and usage-based billing exploitation. They need a partner who understands their business, anticipates emerging threats, and helps them put effective protections in place as their business and the threat landscape evolve. As a member of our Fraud Architect team, you’ll be the fraud and risk specialist embedded in strategic user relationships for a small portfolio of named users, acting as a technical extension of their teams. You’ll help users get more from Radar, build a proactive prevention strategy, and turn complex fraud problems into practical decisions. This role combines analytical rigor, deep fraud investigation, and product judgment. You’ll develop a deep understanding of how Radar scores and classifies transactions, how integrations and available signals affect its d

About the Team At Trendyol Finance, we drive financial clarity, sustainability, and smart decision-making at every level of the business. As a strategic partner to commercial teams, we bridge data with action—ensuring efficiency, compliance, and long-term value creation. From budgeting to forecasting, we turn numbers into insights that shape Trendyol’s growth journey in a fast-moving ecosystem. About the Role We are seeking analytical, process-oriented and proactive Fraud Process & Analytics Professionals to join our Fraud team. This role sits at the intersection of fraud domain knowledge, data analysis, process design and project delivery. You will identify fraud and abuse risks, translate business problems into analytical questions, use data to quantify root causes and impact, design scalable controls and rulesets, and drive improvements together with Product, Data, Tech, Operations and Business teams. The role is not limited to reviewing individual cases; the main focus is to turn recurring fraud problems into measurable, scalable and sustainable solutions. Your Main Responsibilities Own and improve fraud-related processes end-to-end by identifying control gaps, bottlenecks, manual steps and potential abuse points, and drive scalable improvements through automation, product changes or operational redesign. Analyze customer, seller, order, payment and behavioral data using SQL / BigQuery to identify fraud patterns, anomalies, root causes and emerging risk signals; structure ambiguous problems into clear hypotheses, populations and success metrics. Quantify the financial, operational and customer/seller experience impact of fraud problems, prioritize initiatives accordingly, and translate analytical findings into actionable recommendations. Design and improve fraud rulesets, risk indicators, thresholds, controls and monitoring frameworks, considering false positive / false negative trade-offs and overall control effectiveness.

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. About the role SoFi is seeking a Senior Staff, Fraud Strategy Analyst to assess, quantify, and mitigate fraud and operational risk associated with debit card authorization activity across SoFi's card ecosystem. This individual contributor will be responsible for conducting quantitative and qualitative risk assessments, evaluating the effectiveness of risk controls, identifying areas of potential loss or exposure, developing risk mitigation strategies, and partnering across Fraud Strategy, Fraud Operations, Product, Engineering, Data, Disputes, Compliance, Risk, and vendor teams. You will focus on debit card authorization risk across account takeover, wallet and tokenized transactions, 3DS, card-not-present, card-present, ATM activity, high-risk merchants, and override treatments. You will work closely with Fraud Strategy, Fraud Operations, Product, Engineering, Data, Disputes, Compliance, Risk, and vendor partners to move from insight to controlled execution. What you’ll do Own fraud strategy analysis and recommendations for debit card authorization controls. Analyze transaction, alert, dispute, chargeback, rule, device, profile-change, wallet, 3DS, merchant, and loss data. Develop and optimize fraud rules, thresholds, treatments, exclusions, and monitoring plans. Evaluate rule effectiveness, false po

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 pursue new business opportunities. Our mission is to increase the GDP of the internet. We have significant work ahead, which gives you the opportunity to do important work that expands access to the global economy. About the APAC Risk team The APAC Risk team helps Stripe launch and grow products responsibly across a diverse and rapidly evolving region. We work closely with global and regional partners across Product, Engineering, Data Science, Operations, Partnerships, and Risk to identify emerging risks, define practical controls, and make risk decisions easier to execute at scale. The team supports Stripe’s growth in APAC by combining deep regional context with strong analytical judgment. We assess how fraud patterns, payment methods, user behavior, market structures, and regulatory expectations vary across countries. We use those insights to build strategies that protect Stripe and the broader payments ecosystem while preserving a strong experience for legitimate users. What you’ll do As a Fraud Strategist on the APAC Risk team, you will be responsible for identifying and reducing transaction and merchant fraud across Stripe’s products and markets in the region. You will monitor the health of Stripe’s APAC portfolio, investigate emerging threats, and build scalable strategies that reduce losses without creating unnecessary friction for legitimate businesses. You will work on complex and fast moving problems where the available information is often incomplete and fraud patterns evolve quickly. Your work may range from investigating an anomalous fraud trend to designing a regional control, defining a model feature, improving a manual review workflow, or shaping the risk approach for a new product, payment method, or countr

About the Team We believe the only way to predict the future is to build it. Creating solutions to lead our company and our industry is what we do — on every project, every day. This is especially true in Fraud Operations, where we're constantly finding new ways to minimize and prevent fraudulent activity on the platform. Through continuous improvement and operational excellence, our Fraud Strategy and Operations team protects both the business and our customers from bad actors. About the Role As a Senior Associate in Fraud Operations, you'll help safeguard our platform through fraud detection and prevention. You'll scale reviews, build collaborative relationships with our outsourced operations partners(BPO), and optimize operational processes. You'll also drive performance management initiatives to help those partner teams meet and exceed performance standards. This role blends project management, quality analysis, and vendor relationship management, with hands-on casework along the way. You will report into the Associate Manager on our Fraud Partner Operations team in our Fraud Strategy and Operations organization. This position requires an in-office presence at the DoorDash corporate office in Tempe, and the employee must live within a commutable 50 miles from the office. In-office days are determined by the business and can change based on business needs. Connect with the recruiter to determine what the in-office requirement for this role is. You're excited about this opportunity because you will… Own the day-to-day health of fraud queues worked by our outsourced vendor partners(BPO), monitoring performance against key operational goals and driving improvement plans when queues fall short Lead quality review programs with vendor QA teams, using root-cause analysis to improve review accuracy and strengthen fraud detection and prevention Combat fraud using data-driven insights and daily performance reporting, with your work directly informing decisions made by lea

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. About the Team The Fraud Partnerships Pod is responsible for overseeing all traditional business development and partnerships for the Anti-Fraud Product Area (PA) at Plaid, focusing primarily on our product partnerships and data acquisition (supply side) efforts. The team supports all products under the Fraud Product Area's purview: IDV, Monitor, Layer, and Protect. About the Role You will have an opportunity to lead the strategy and execution of our supply side and "data in" efforts for our Fraud product area across four products (Plaid IDV, Monitor, Layer, and Protect). You will own all critical data partner relationship management with key stakeholders and be expected to grow them over time. You will be the internal quarterback driving alignment with key major internal stakeholders at Plaid, including Finance, BizOps, Commercial, Legal, and Risk. What You'll Do Spend the majority of your time working hand in hand with product leadership as well as other cross-functional leaders to operationalize our data partners for all fraud products at Plaid. Help our data science and research teams define the source data ecosystem for IDV and Protect according to our 3-year strategy. Help e