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Fraud Intelligence Lead Jobs

518 active opportunities · Updated for October 2026

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Explore current fraud intelligence lead jobs. Use filters to narrow by work mode, employment type, experience and date posted.

J
Jumio
📍 United States• Remote
Just now

Role Purpose: The Forward Deployed Identity Strategist serves as a customer-facing Fraud and Identity subject matter expert across the entire customer lifecycle, operating as a forward-deployed consultant across pre-sales, onboarding, and ongoing expansion. In this role, you will partner directly with enterprise customers to design optimal product implementation strategies, evaluate risk profiles, and align Jumio’s technical solutions with customer’s unique business objectives. The Identity Strategist owns the critical onboarding mission for new deployments. Acting as a strategic advisor, you are directly responsible for driving efficient customer onboarding and rollout, and overcoming regulatory, legal, or operational hurdles to accelerate time-to-live and maximize time-to-value while ensuring solution adoption and long-term trust. Responsibilities: Partner with new and existing Jumio customers to evaluate their risk profile and design tailored fraud strategies Provide expert recommendations on risk mitigation, user friction, and verification workflow optimization Lead the designing of standardized identity workflows within the Jumio product that are optimized for different verticals and use cases that can be quickly adopted by new customers Orchestrate launch readiness by proactively identifying and resolving technical, regulatory, or policy-related bottlenecks to drive time-to-live and time-to-value Advise customer risk and fraud teams on emerging fraud vectors and industry best practices Validate completion of implementation milestones and success criteria, as well as confirming that the customer’s integration aligns with Jumio best practices Coordinate go-live planning, readiness reviews, and support go-live day execution Skills, Experience and Qualifications: Relevant professional experience spanning fraud, identity, AML/KYC, digital risk, or a related field, including meaningful customer-facing experience in consulting, technical account management, so

REMOTEmachine learningaiproject management
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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 Abuse Operations is the front-line incident response and remediation function handling active product abuse and fraud impacting Stripe and its merchants. This multi-disciplinary group, spanning Incident Managers, Investigators, Forward Deployed Security Engineers, and Data Scientists, neutralizes active attacks, gathers requirements for operational tooling, and leads incidents. The team works directly with impacted merchants to resolve incidents and policy abuse rapidly. Operating primarily across Eastern, Pacific and Western European time zones, these team members regularly coordinate with global stakeholders across the world. What you’ll do In this role, you will play a critical part in safeguarding our financial ecosystem by investigating high-risk accounts, identifying complex fraud patterns, performing post-incident analyses, and driving cross-functional improvements to scale fraud detection. Building on these core operational duties, you will leverage your fraud, abuse, or product trust experience to improve incident response capabilities across Stripe by managing the entire fraud and abuse incident response process, developing response plans, leading workstreams, and serving as incident commander to ensure timely resolution. Furthermore, you will conduct gamedays to pressure-test response processes, drive proactive improvements, and help automate response workflows using agentic approaches ensuring we neutralize threats with speed

REMOTEpythonsql
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S
1mo ago

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 Abuse Operations is the front-line incident response and remediation function handling active product abuse and fraud impacting Stripe and its merchants. This multi-disciplinary group, spanning Incident Managers, Investigators, Forward Deployed Security Engineers, and Data Scientists, neutralizes active attacks, gathers requirements for operational tooling, and leads incidents. The team works directly with impacted merchants to resolve incidents and policy abuse rapidly. Operating primarily across Eastern, Pacific and Western European time zones, these team members regularly coordinate with global stakeholders across the world. What you’ll do In this role, you will play a critical part in safeguarding our financial ecosystem through two main pillars: actively responding to live fraud and abuse incidents as a hands-on security engineer, and serving as a key bridge between incidents and merchants to help them remediate threats, improve security posture, and protect their accounts. Leveraging your technical depth in fraud, abuse, and security engineering, you will investigate high-risk accounts, perform post-incident analyses, gather operational requirements, and drive agentic response capabilities ensuring we neutralize threats with speed and precision while elevating Stripe's product integrity function. Responsibilities Respond to live fraud and abuse incidents as a Forward Deployed Security Engineer, investigating high-risk activity, neu

pythonsql
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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 Abuse Operations is the front-line incident response and remediation function handling active product abuse and fraud impacting Stripe and its merchants. This multi-disciplinary group, spanning Incident Managers, Investigators, Forward Deployed Security Engineers, and Data Scientists, neutralizes active attacks, gathers requirements for operational tooling, and leads incidents. The team works directly with impacted merchants to resolve incidents and policy abuse rapidly. Operating primarily across Eastern, Pacific and Western European time zones, these team members regularly coordinate with global stakeholders across the world. What you’ll do In this role, you will play a critical part in safeguarding our financial ecosystem by investigating high-risk accounts, identifying complex fraud patterns, performing post-incident analyses, and driving cross-functional improvements to scale fraud detection. Building on these core operational duties, you will leverage your fraud, abuse, or product trust experience to improve incident response capabilities across Stripe by managing the entire fraud and abuse incident response process, developing response plans, leading workstreams, and serving as incident commander to ensure timely resolution. Furthermore, you will conduct gamedays to pressure-test response processes, drive proactive improvements, and help automate response workflows using agentic approaches ensuring we neutralize threats with speed

pythonsqlgit
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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 Abuse Operations is the front-line incident response and remediation function handling active product abuse and fraud impacting Stripe and its merchants. This multi-disciplinary group, spanning Incident Managers, Investigators, Forward Deployed Security Engineers, and Data Scientists, neutralizes active attacks, gathers requirements for operational tooling, and leads incidents. The team works directly with impacted merchants to resolve incidents and policy abuse rapidly. Operating primarily across Eastern, Pacific and Western European time zones, these team members regularly coordinate with global stakeholders across the world. What you’ll do In this role, you will play a critical part in safeguarding our financial ecosystem by investigating high-risk accounts, identifying complex fraud patterns, performing post-incident analyses, and driving cross-functional improvements to scale fraud detection. Building on these core operational duties, you will leverage your fraud, abuse, or product trust experience to improve incident response capabilities across Stripe by managing the entire fraud and abuse incident response process, developing response plans, leading workstreams, and serving as incident commander to ensure timely resolution. Furthermore, you will conduct gamedays to pressure-test response processes, drive proactive improvements, and help automate response workflows using agentic approaches ensuring we neutralize threats with speed

pythonsql
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R
Roblox
📍 San Mateo• Full-time• From $202.1K/yr
2mo ago

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. We are hiring a Senior Product Policy Manager with expertise in creator economy platforms and payment fraud to join our growing Monetization Policy function. You will help us design policies, enforcement guidelines incorporated into financial integrity products, services, and technologies that support our global community of monetizing creators. As a part of the Product Policy team, you will have a global impact on our payment integrity and fraud mitigation strategy. You will collaborate internally with our product, engineering, business, legal, public policy, marketing, finance, and operations teams to help drive the business forward on a foundation of safety & civility. You will report to Roblox’s Platform Policy lead and sit within our larger Safety Group at Roblox. This role is based in San Mateo, CA and you are expected to be in office Tue through Thu. You have: 4+ years of experience with online anti-fraud, trust & safety, or product policy space, especially for digital payment and/or creator economy platforms Subject matter expertise in digital payments, virtual economies, and/or creator monetization platforms. Strong written and verbal communication skills; Able to distill c

awsgitai
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C
Coinbase
📍 Luxembourg• Full-time• Hybrid
3mo ago

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a SAM Compliance Lead Analyst on the CX Compliance team, you'll investigate AML and fraud-related transaction activity on the blockchain to protect Coinbase customers and maintain regulatory compliance. This team is responsible for executing Coinbase's AML compliance programs, including transaction monitoring, suspicious activity reporting, and investigative due diligence across our global operations. You'll own end-to-end case investigations, from alert triage through SAR filing, and ensure the quality and consistency of compliance outputs in our Luxembourg operations. What you'll do: Investigate AML and fraud-related alerts from transaction monitoring systems, law enforcement referrals, and internal business lines, analyzing blockchain activity and KYC information to assess risk. Document investigative findings in clear written narratives and determine whether activity warrants escalation or Suspicious Activity Report (SAR) filing in accordance with regulatory requirements. Execute due diligence research and analysis in support of Coinbase's AML compliance policies, applying BSA/AML, KYC, and OFAC regulatory standards to every case. Maintain detailed case documentation demonstrating compliance with applicable regulations, internal policies, and procedures across the Luxembourg entity. Stay current with industry developments in AML, KYC, and sanctions compliance,

C
Coinbase
📍 Manila• Full-time
1mo ago

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

aifinance
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C
Coinbase
📍 Manila• Full-time
1mo ago

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

awsaiphp
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C
Coinbase
📍 Hyderabad• Full-time• From ₹8.2L/yr
1mo ago

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Payments Risk Analyst II As a Payments Risk Analyst II on the Risk & Fraud team within the Consumer & Business group, you'll own the identification and mitigation of payments fraud across Coinbase's fiat payment rails, including ACH, wire, and card transactions. This team protects millions of customers and billions in transaction volume from chargebacks, unauthorized deposits, and account takeover schemes. You'll investigate escalated fraud cases, analyze risk patterns across multiple channels, and partner cross-functionally to strengthen detection systems across one of crypto's highest-volume retail platforms. What you'll do: Own end-to-end investigation and resolution of escalated payments fraud cases, including chargebacks, ACH returns, wire disputes, and account takeovers, across phone, messaging, and email channels. Analyze fraud trends and patterns across payment activities, synthesizing data into actionable recommendations that improve detection logic and reduce loss exposure. Handle premium and high-complexity customer cases, including CB1, HNWI, and executive escalations, using judgment to make risk decisions and coordinating with stakeholders to resolve issues. Partner cross-functionally with Product, Data Science, Risk ML, and Engineering to develop and iterate on risk management strategies, rule logic, and fraud prevention processes. Identify work

sqlawsai
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Job Title Purchase to Pay Specialist Job Description Job title: The Purchase to Pay Specialist is responsible for coordinating P2P processes, ensuring compliance with directives and standards, executing assignments with precision, safeguarding against errors and fraud, validating transactions, addressing discrepancies, resolving issues, and staying updated on purchase best practices to enhance efficiency and accuracy in financial operations. The role executes mid-complexity assignments professionally, adhering to quality standards and deadlines. The role adheres to Internal Control Systems procedures for PTP processes, ensuring compliance with industry controls. The role maintains oversight to prevent errors and fraud throughout purchase and payment. Candidates need to be fluent in Thai as a working language . Your role: • Coordinates various tasks to support routine purchase-to-pay (P2P) processes within the assigned scope, ensuring compliance with directives and achieving efficiency within the department. • Receives predetermined work assignments subject to extensive control and review, utilizing established guidelines, procedures, and policies to ensure accuracy and compliance throughout the completion of tasks. • Stimulates and guides more complex world-class finance processes by implementing best practices, ensuring adherence to standards, and providing effective oversight to enhance efficiency and accuracy in financial operations. • Demonstrates up-to-standard knowledge of corporate and local accounting rules and applies them in daily operations, understands relevant end-to-end processes and maintaining strong relationships with peers to ensure seamless coordination and effective execution of tasks. • Executes mid-complexity assignments professionally, adheres to quality standards and deadlines, ensures that each task is completed with precision a

accountingfinance
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C
25 days ago

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Lead, Senior Decision Scientist serves as a strategic analytics and ideation leader supporting Payment Integrity Affordability initiatives with a primary focus on Fraud, Waste & Error (FWE) and Special Investigations Unit (SIU) programs. This role provides leadership and guidance to a team of Decision Scientists while driving the development, evaluation, and implementation of innovative opportunities that improve affordability outcomes and strengthen Payment Integrity capabilities. The Lead Decision Scientist is responsible for establishing analytical frameworks, managing ideation pipelines, defining success metrics, and identifying cross-functional opportunities that create enterprise value across Payment Integrity programs. Required Qualifications 7+ years of experience in healthcare analytics, Payment Integrity, Fraud, Waste & Error (FWE), Special Investigations, or related healthcare operations. 5+ years of experience leading analytical projects or providing technical leadership within a healthcare environment. Demonstrated experience working with healthcare claims platforms including ACAS, QNXT, HRP, or comparable systems. Experience using SAS, SQL, Python, R, or other analytical and statistical programming languages. Experience performing advanced data analysis, opportunity identification, trend analy

pythonsqlai
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A
Adobe
📍 San Jose• $125.6K – $234.2K/yr
29 days ago

Adobe is seeking a Machine Learning Engineer to join the Adobe Risk Platform (ARP) team. ARP is Adobe's centralized, adaptive system for detecting, preventing, and mitigating fraud and abuse across products and services — protecting surfaces like Commerce, Stock, and Firefly with real-time risk decisions, without degrading the customer experience. In this position, you will help build and develop machine learning models to identify fraudulent activity, detect abusive account behavior, and protect the experience of hundreds of millions of users. You'll work across the model lifecycle from raw behavioral data and feature engineering, to model training, deployment, and monitoring alongside senior engineers on the team. Key Responsibilities Help build and train ML models covering various fraud and abuse areas. These include financial transaction fraud, device-related deception, and account and identity abuse. The goal is a unified, continuously-updated trust and risk score. Contribute to feature engineering across transaction, device, and behavioral event data. Build and maintain feature pipelines on Databricks and Spark, transforming raw transaction and device event data into high-quality model inputs. Help translate prototypes into production ML systems, working with senior engineers on scalability, reliability, and observability. Support MLOps practices: experiment tracking, model versioning, CI/CD, and production monitoring. Collaborate cross-functionally with data science, product, and platform teams to understand fraud and abuse patterns across Adobe's surfaces. Stay ahead of advances in ML/AI, particularly in fraud detection and behavioral modeling, and bring relevant ideas to the team. Minimum Qualifications Bachelor's degree in Computer Science, Machine Learning, Data Science, or related field (or equivalent experience). 3

pythonmachine learningai
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A
Adobe
📍 San Jose• $151.8K – $265.4K/yr
29 days ago

Adobe is seeking a Machine Learning Engineer to join the Adobe Risk Platform (ARP) team. ARP is Adobe's centralized, adaptive system for detecting, preventing, and mitigating fraud and abuse across products and services — protecting surfaces like Commerce, Stock, and Firefly with real-time risk decisions, without degrading the customer experience. In this position, you will help build and develop machine learning models to identify fraudulent activity, detect abusive account behavior, and protect the experience of hundreds of millions of users. You'll work across the model lifecycle from raw behavioral data and feature engineering, to model training, deployment, and monitoring alongside senior engineers on the team. Key Responsibilities Help build and train ML models covering various fraud and abuse areas. These include financial transaction fraud, device-related deception, and account and identity abuse. The goal is a unified, continuously-updated trust and risk score. Contribute to feature engineering across transaction, device, and behavioral event data. Build and maintain feature pipelines on Databricks and Spark, transforming raw transaction and device event data into high-quality model inputs. Help translate prototypes into production ML systems, working with senior engineers on scalability, reliability, and observability. Support MLOps practices: experiment tracking, model versioning, CI/CD, and production monitoring. Collaborate cross-functionally with data science, product, and platform teams to understand fraud and abuse patterns across Adobe's surfaces. Stay ahead of advances in ML/AI, particularly in fraud detection and behavioral modeling, and bring relevant ideas to the team. Minimum Qualifications Bachelor's degree in Computer Science, Machine Learning, Data Science, or related field (or equivalent experience). 5

pythonmachine learningai
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S
Stripe
📍 San Francisco
1mo ago

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 Abuse Operations is the front-line incident response and remediation function handling active product abuse and fraud impacting Stripe and its merchants. This multi-disciplinary group, spanning Incident Managers, Investigators, Forward Deployed Security Engineers, and Data Scientists, neutralizes active attacks, gathers requirements for operational tooling, and leads incidents. The team works directly with impacted merchants to resolve technical incidents and policy abuse rapidly. Operating primarily across Eastern, Pacific and Western European time zones, these team members regularly coordinate with global stakeholders across the world. What you’ll do You'll play a critical role in safeguarding our financial ecosystem by investigating high-risk accounts and identifying complex patterns of fraud during incidents. You will lead incident response for product abuse and fraud events, conducting deep-dive analyses to identify root causes. By collaborating cross-functionally, you will drive improvements that enhance our fraud detection and prevention strategies at scale. Your expertise will be essential in automating response processes through agentic approaches, allowing us to safeguard merchants and neutralize threats with speed and precision. Responsibilities Investigate, mitigate, and remediate urgent fraud incidents (e.g., ATO, card testing), utilizing FT3-mapped detection and signals enrichment to reduce uncertainty and accelerate

pythonsql
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