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Fraud Intelligence Analyst Jobs (NOW HIRING)

Plaid Inc

Fraud Intelligence Analyst

San Francisco, CA · On-site

$139K - $191K/yr

Operate across Plaid's fraud tooling - dashboards, alerting systems, network signals, and analytics ... intelligence into actionable insights * Strong communication: ability to explain complex, ambiguous ...

Target

Senior Fraud Intelligence Analyst

Minneapolis, MN · Hybrid

$88K - $158K/yr

As a Senior Cybersecurity Analyst on the Cyber Fraud Intelligence team, you will provide daily support related to the tracking and analysis of prioritized fraud threats that may pose a risk to Target.

Plaid Inc

Fraud Intelligence Lead

New York, NY · On-site

$148K - $232K/yr

Our Fraud Intelligence team's mission is to turn fraud signals into insight that our EPD teams ... Coach analysts on investigation technique, pattern synthesis, and translating findings into product ...

Plaid

Fraud Intelligence Lead

Manhattan, NY · On-site

$200 - $250/hr

Our Fraud Intelligence team's mission is to turn fraud signals into insight that our EPD teams ... Coach analysts on investigation technique, pattern synthesis, and translating findings into product ...

Plaid Inc

Fraud Intelligence Lead

Manhattan, NY · On-site

$200 - $250/hr

Our Fraud Intelligence team's mission is to turn fraud signals into insight that our EPD teams ... Coach analysts on investigation technique, pattern synthesis, and translating findings into product ...

Extend

Manager, Fraud Intelligence

$157K - $182K/yr

The Fraud Intelligence team is the magic behind Extend's post-purchase protection platform ... We build and refine cutting-edge analytics engines based on signals and transactions from hundreds ...

Extend

Manager, Fraud Intelligence

$157K - $182K/yr

The Fraud Intelligence team is the magic behind Extend's post-purchase protection platform ... We build and refine cutting-edge analytics engines based on signals and transactions from hundreds ...

SentiLink Corp

$200 - $250/hr

Requirements: * 8+ years of experience in fraud operations, fraud intelligence, risk management, trust & safety, investigations, analytics, or a related domain, including significant people ...

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Fraud Intelligence Analyst information

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$45.5K

$99.9K

$163.5K

How much do fraud intelligence analyst jobs pay per year?

As of Sep 7, 2026, the average yearly pay for fraud intelligence analyst in the United States is $99,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,000.00 and $116,000.00 per year, depending on experience, location, and employer.

What does a fraud intelligence analyst do?

A Fraud Intelligence Analyst is responsible for identifying, investigating, and preventing fraudulent activities within an organization. They analyze data patterns, monitor transactions, and use specialized tools to detect suspicious behavior or trends that may indicate fraud. These professionals collaborate with other departments and law enforcement agencies to develop strategies, provide intelligence reports, and support ongoing investigations. Their work helps protect businesses and customers from financial losses and reputational damage caused by fraud.

What are the key skills and qualifications needed to thrive as a fraud intelligence analyst?

To thrive as a Fraud Intelligence Analyst, you need a strong analytical mindset, attention to detail, and a relevant degree such as in criminology, finance, or data analysis. Familiarity with fraud detection tools, data analysis software, and sometimes certifications like Certified Fraud Examiner (CFE) are commonly required. Excellent problem-solving, communication, and critical thinking skills help analysts collaborate effectively and present findings clearly. These skills are crucial for accurately identifying fraudulent activity, minimizing financial losses, and supporting organizational security.

How does a fraud intelligence analyst typically collaborate with other departments to prevent financial loss?

Fraud Intelligence Analysts regularly work alongside teams in risk management, compliance, IT, and customer service to detect and investigate suspicious activities. They often participate in cross-functional meetings to share insights, analyze emerging fraud patterns, and recommend proactive measures. This collaboration ensures that the organization maintains a unified approach to fraud prevention and response, allowing for swift action when potential threats are identified. Building strong interdepartmental relationships is key to effectively minimizing financial risks.
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Fraud Intelligence Analyst jobs near you
Infographic showing various Fraud Intelligence Analyst job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $99,864 per year, or $48 per hour.

Fraud Intelligence Analyst

Plaid Inc

San Francisco, CA • On-site

$139K - $191K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 16 days ago

Job description

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 team's mission is to help companies detect and prevent fraud using Plaid's financial network data. We believe that transaction patterns, device signals, identity linkages, and behavioral data are dramatically underleveraged tools in fraud prevention. Our products - including Protect and Signal - operate at network scale and depend on real-world investigation and research to stay ahead of adaptive adversaries.
As a Senior Fraud Researcher, you will sit at the intersection of live fraud investigation, applied data science, and product innovation. You will lead complex investigations, translate findings into detection improvements, and collaborate tightly with Data Science, ML, and Product teams to shape the next generation of Plaid's fraud capabilities. This is not a purely operational role - your research directly drives features, model inputs, and product design.
Responsibilities:
Live Fraud Investigation & Reconstruction
  • Lead investigations into complex fraud cases across identities, accounts, devices, and transaction surfaces
  • Provide support to day-to-day fraud operations including SEVs and alert triage
  • Reconstruct attacker sequences and hypothesize actor intent and tooling
  • Distill patterns from noisy signals into clear narratives and actionable insights
  • Bridge investigation outcomes to product and model improvements

Signal & Tool Utilization at Scale
  • Operate across Plaid's fraud tooling - dashboards, alerting systems, network signals, and analytics platforms - to detect and validate anomalies
  • Stress-test existing capabilities, identify systemic gaps, and define new detection primitives
  • Proactively identify gaps in internal fraud tooling and automation, driving enhancements to improve efficiency and scale

Product & Model Partnership
  • Collaborate with Data Science, ML/AI, and Product teams to improve labeling, feature sets, evaluation frameworks, and model decay monitoring
  • Surface data quality limitations and systematically formalize missing features
  • Translate exploratory research into reusable feature pipelines, model inputs, or rule augmentations
  • Participate in product discovery, roadmap planning, and post-launch evaluation to ensure fraud-awareness by design

Deep Applied Fraud Research
  • Conduct longitudinal and structural analysis of how fraud types manifest in Plaid network data - entity linkages, temporal patterns, attack rotations, tool chains
  • Experiment with network/graph analysis, sequence mining, anomaly detection, and custom heuristics where off-the-shelf approaches fail

Ecosystem Monitoring & Knowledge Leadership
  • Continuously survey external fraud trends, adversary techniques, tooling, and emerging threat vectors
  • Proactively perform threat modeling of abuse surfaces and initiate research proposals when patterns emerge

Case Studies & Reporting
  • Produce clear, evidence-backed technical reports and case studies for product, engineering, operations, legal, and executive stakeholders
  • Document investigation workflows, attack classifications, and proof-of-concept detection logic
  • Drive post-incident learning by capturing lessons from fraud incidents and feeding them back into defenses

Qualifications:
  • 3+ years of applied fraud experience in a high-velocity environment (fintech, consumer payments, banking, SaaS, marketplace risk, or security research)
  • Investigator mindset: pattern synthesis, hypothesis testing, and skilled triage between signal and noise
  • End-to-end investigation experience reconstructing attacker intent and behavior in multi-step attack sequences across accounts, devices, and identities
  • Post-containment incident response experience with a deep emphasis on post-mortems and root cause analysis
  • Dark and grey-web navigation and investigation experience; ability to assess source credibility and translate external intelligence into actionable insights
  • Strong communication: ability to explain complex, ambiguous behavior to technical and non-technical audiences
  • Tool fluency with data environments and investigative toolchains (BI tools, anomaly detection, case trackers)

Preferred
  • SQL for deep data querying and exploratory analysis
  • Python for scripting, rapid prototyping, and analytical workflows
  • Graph/network analysis experience to detect linked behavioral structures or actor networks
  • Familiarity with rule engines, signal gating, and large-scale monitoring systems
  • Experience applying AI tools and agents to accelerate investigations and research workflows
  • Ability to translate fraud research into actionable signals, rules, or labeled datasets that improve model performance

Nice to Have
  • Fraud domain certifications (e.g., CFE)
  • Prior work on consumer identity, payments, or risk platform development
  • Exposure to production ML model lifecycles and metrics for drift/decay
  • Experience improving internal fraud tooling, automation, or case management systems

Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!
Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com.
Please review our Candidate Privacy Notice here.
Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.

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