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Fraud Research Analyst Jobs (NOW HIRING)

Plaid Inc

Fraud Intelligence Analyst

San Francisco, CA · On-site

$139K - $191K/yr

As a Senior Fraud Researcher, you will sit at the intersection of live fraud investigation, applied ... Conduct longitudinal and structural analysis of how fraud types manifest in Plaid network data ...

Plaid Inc

Senior Fraud Research Analyst

San Francisco, CA · On-site

$180 - $240/hr

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 ...

Pindrop

Research Scientist II (Fraud)

Analyze fraud patterns across customer environments and translate findings into measurable improvements in model performance, investigation workflows, or mitigation strategies. * Research and build a ...

Pindrop

Research Scientist II (Fraud)

Analyze fraud patterns across customer environments and translate findings into measurable improvements in model performance, investigation workflows, or mitigation strategies. * Research and build a ...

Booz Allen Hamilton, Inc.

$69K - $158K/yr

Share Operations Research Analyst The Opportunity : As an operations analyst, you're passionate ... We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI ...

FinRegLab

Senior Research Analyst

Washington, DC · On-site

$131K - $132K/yr

... senior research analysts. These analysts are expected to help organize, lead, and execute ... The potential of new data and technology to improve identity verification, fraud mitigation, and ...

FinRegLab, Inc.

Senior Research Analyst

Washington, DC · On-site

$85 - $130/hr

... senior research analysts. These analysts are expected to help organize, lead, and execute ... The potential of new data and technology to improve identity verification, fraud mitigation, and ...

Akima, LLC

Spanish Research Analyst

Williamsburg, KY · On-site

$22.36/hr

LDRM is seeking a Spanish Research Analyst to work in Williamsburg, KY. Come join our team of ... fraud or potential criminal activity. * Appropriately handle Law Enforcement Sensitive (LES ...

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Fraud Research Analyst information

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How much do fraud research analyst jobs pay per year?

As of Aug 23, 2026, the average yearly pay for fraud research analyst in the United States is $73,965.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $98,500.00 per year, depending on experience, location, and employer.

What does a fraud research analyst do?

A Fraud Research Analyst is responsible for investigating suspicious activities and transactions to identify potential fraud within an organization. They analyze large sets of data, review financial documents, and use various tools to detect patterns indicative of fraudulent behavior. These professionals also prepare detailed reports on their findings and may recommend measures to prevent future fraud. Their work is essential in helping businesses minimize losses and comply with regulatory standards.

What are some common challenges faced by fraud research analysts when investigating suspicious activities?

Fraud Research Analysts often encounter challenges such as rapidly evolving fraud tactics, large volumes of complex data, and the need to balance thorough investigation with timely reporting. Staying updated on the latest schemes and using advanced analytical tools is essential. Collaborating closely with compliance, IT, and legal teams can also present coordination challenges, but it's crucial for effective case resolution and prevention strategies.

What are the key skills and qualifications needed to thrive as a fraud research analyst, and why are they important?

To excel as a Fraud Research Analyst, you need strong analytical abilities, attention to detail, and a background in finance, criminology, or a related field, often supported by a relevant degree. Proficiency with fraud detection software, data analysis tools like SQL or Excel, and knowledge of regulatory compliance systems are typically required. Exceptional problem-solving skills, curiosity, and effective communication help analysts stand out when investigating suspicious activities and collaborating with stakeholders. These competencies are crucial for accurately detecting fraud, minimizing financial losses, and upholding an organization’s integrity.

What is the difference between Fraud Research Analyst vs Fraud Investigator?

AspectFraud Research AnalystFraud Investigator
CredentialsTypically requires a bachelor’s degree in finance, criminal justice, or related fields; certifications like CFE or ACFE are commonSimilar credentials; often holds certifications such as CFE or ACFE
Work EnvironmentResearch-focused, analyzing data and patterns in office settings or remotelyInvestigative, conducting interviews and fieldwork, often in office or on-site
Employer & IndustryFinancial institutions, insurance companies, government agenciesFinancial institutions, law enforcement, insurance companies

Both roles involve fraud detection and prevention, often requiring similar credentials. The Fraud Research Analyst primarily focuses on analyzing data to identify fraud patterns, while the Fraud Investigator conducts investigations and interviews to gather evidence. They often work together to combat fraud effectively.

More about Fraud Research Analyst jobs

What states have the most Fraud Research Analyst jobs?

States with the most job openings for Fraud Research Analyst jobs include:

What job categories do people searching Fraud Research Analyst jobs look for?

The top searched job categories for Fraud Research Analyst jobs are:

Fraud Research Analyst jobs near you
Infographic showing various Fraud Research Analyst job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 85% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $73,965 per year, or $35.6 per hour.

Fraud Intelligence Analyst

Plaid Inc

San Francisco, CA • On-site

$139K - $191K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 18 hours 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, Washington D.C., 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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