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Fraud Analyst Jobs in Virginia (NOW HIRING)

ID.me

Senior Fraud Investigations Analyst

Mclean, VA · On-site

Senior Fraud Investigations Analyst Role Overview ID.me is looking for a Senior Fraud Investigations Analyst to join our organization as an execution-focused individual contributor. This role is ...

ID.me

Senior Fraud Investigations Analyst

Mclean, VA · On-site

They are seeking a Senior Fraud Investigations Analyst responsible for leading investigations into account takeover activities, identifying fraud patterns, and enhancing detection strategies through ...

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Fraud Analyst information

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$15

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$63

How much do fraud analyst jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for fraud analyst in Virginia is $30.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.96 and $33.61 per hour, depending on experience, location, and employer.

What is the difference between Fraud Analyst vs Compliance Analyst?

AspectFraud AnalystCompliance Analyst
Required CredentialsCertifications like CFE, ACFE, or fraud-specific trainingCertifications such as CRCM, CAMS, or compliance-specific courses
Work EnvironmentFinancial institutions, e-commerce, insurance companiesBanking, finance, healthcare, and regulatory agencies
Employer & Industry UsageFocus on detecting and preventing fraud activitiesFocus on ensuring adherence to laws and regulations

While both Fraud Analysts and Compliance Analysts work within financial and regulated industries, Fraud Analysts primarily focus on identifying and preventing fraudulent activities, whereas Compliance Analysts ensure organizations follow legal and regulatory standards. Both roles require similar certifications and often operate in overlapping environments, but their core responsibilities differ significantly.

What does a fraud analyst do?

As a fraud analyst, your responsibilities are to monitor bank accounts, financial transactions, accounting paperwork, and other financial documents and analyze the data to identify any potential fraudulent activity. Fraud analysts work in several fields, including insurance, municipal, state, and federal law enforcement, finance, and banking, and your duties differ depending on the type of institution or agency for which you work. However, your tasks generally include using sophisticated software to pick up on patterns of behavior by a financial institution, business, or individual.

What qualifications do you need to be a fraud analyst?

A fraud analyst typically needs a bachelor's degree in finance, accounting, criminal justice, or a related field. Strong analytical skills, attention to detail, and experience with data analysis tools or fraud detection software are also important. Certifications such as Certified Fraud Examiner (CFE) can enhance qualifications.

What is the job of a fraud analyst?

A fraud analyst investigates and detects fraudulent activities by analyzing transaction data, patterns, and behaviors to prevent financial losses. They use tools like data analysis software and may need certifications such as Certified Fraud Examiner (CFE) to perform their duties effectively.

How much do fraud analysts get paid?

Fraud analysts typically earn a median annual salary of around $50,000 to $70,000, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with certifications can earn higher salaries, especially in financial services or technology sectors.

What are some typical challenges faced by fraud analysts, and how can they be addressed?

Fraud Analysts often deal with the challenge of distinguishing between legitimate and suspicious activities in large volumes of data, which requires keen attention to detail and strong analytical skills. Another common challenge is keeping up with evolving fraud tactics and technologies. To overcome these, analysts regularly participate in ongoing training, leverage advanced detection tools, and collaborate closely with IT and compliance teams. Open communication and knowledge sharing within the team also play key roles in staying ahead of potential threats.

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

To thrive as a Fraud Analyst, you need strong analytical skills, attention to detail, and a background in finance, accounting, or a related field, often supported by a bachelor's degree. Familiarity with fraud detection software, data analysis tools like SQL or Excel, and relevant certifications such as CFE (Certified Fraud Examiner) are commonly required. Strong problem-solving, critical thinking, and effective communication skills help Fraud Analysts investigate suspicious activities and collaborate with other departments. These skills and qualifications are essential for accurately identifying fraudulent behavior, minimizing financial losses, and upholding organizational integrity.

Is fraud analysis a good career?

Fraud analysis is a viable career that involves detecting and preventing financial crimes using data analysis and investigative skills. It often requires knowledge of fraud schemes, analytical tools, and sometimes certifications like Certified Fraud Examiner (CFE). The role offers opportunities for advancement and typically involves a structured work environment with regular hours.

What does a fraud analyst do?

A Fraud Analyst is responsible for detecting, investigating, and preventing fraudulent activities within an organization, typically in the banking, finance, or retail sectors. They analyze transactions, monitor accounts for suspicious behavior, and use specialized software to identify patterns that may indicate fraud. Fraud Analysts work closely with other departments and law enforcement agencies to resolve cases and help develop strategies to minimize future risks.
More about Fraud Analyst jobs
What are the most commonly searched types of Fraud Analyst jobs in Virginia? The most popular types of Fraud Analyst jobs in Virginia are:
What are popular job titles related to Fraud Analyst jobs in Virginia? For Fraud Analyst jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Fraud Analyst jobs in Virginia look for? The top searched job categories for Fraud Analyst jobs in Virginia are:
What cities in Virginia are hiring for Fraud Analyst jobs? Cities in Virginia with the most Fraud Analyst job openings:
What are popular job titles related to Fraud Analyst jobs in VA? For Fraud Analyst jobs in VA, the most frequently searched job titles are:
Fraud Analyst jobs near you
Infographic showing various Fraud Analyst job openings in Virginia as of August 2026, with employment types broken down into 1% Internship, 86% Full Time, 7% Part Time, and 6% Contract. Highlights an 81% Physical, 9% Hybrid, and 10% Remote job distribution, with an average salary of $63,275 per year, or $30.4 per hour.

Senior Fraud Investigations Analyst

ID.me

Mclean, VA • On-site

Full-time

Re-posted 10 hours ago

ID.me rating

5.6

Company rating: 5.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

229th of 243 rated software companies

Job description

Senior Fraud Investigations AnalystRole Overview

ID.me is looking for a Senior Fraud Investigations Analyst to join our organization as an execution-focused individual contributor. This role is responsible for leading investigations into account takeover (ATO) activity, identifying fraud patterns at scale, and strengthening detection strategies.

We are seeking a highly skilled analyst who can independently analyze large datasets, uncover coordinated fraud campaigns, and drive improvements in detection systems. This role requires moving beyond case-by-case investigation into trend analysis, signal development, and data-driven decision making.

This role is based out of our McLean, VA office and requires full-time in-office attendance.

Responsibilities
  • Lead complex account takeover (ATO) investigations, including multi-account and organized fraud activity
  • Analyze large datasets using SQL, Python, or similar tools to identify trends, anomalies, and attack patterns
  • Use fraud detection tools, machine learning outputs, and risk-scoring systems to drive high-quality investigations
  • Independently own investigations from detection through resolution, including clear documentation and recommendations
  • Identify gaps in detection logic and contribute to improvements in rules, models, and workflows
  • Partner with engineering, data, and product teams to enhance fraud detection capabilities and signal quality
  • Act as an escalation point for high-severity or ambiguous fraud cases
  • Develop and refine investigation playbooks and analytical approaches for ATO detection
  • Support reporting and analysis of fraud trends, detection performance, and operational metrics
  • Leverage AI/LLM tools to analyze large datasets, identify fraud patterns, and improve investigation speed and accuracy while validating outputs against source data
Basic Qualifications
  • Bachelor's degree from an accredited institution; strong preference for quantitative fields such as Economics, Computer Science, Statistics, Mathematics, or similar
  • 4+ years of experience in fraud investigations, threat intelligence, cybersecurity, or risk management, with a focus on account takeover (ATO) attacks (typically 4-8 years total experience; candidates should have <10 years overall)
  • 2+ years of experience using SQL, Python, or similar tools to analyze data and drive investigations
  • 2+ years of hands-on experience using fraud detection tools, machine learning models, or risk-scoring methodologies
  • 2+ years of experience interpreting fraud indicators, behavioral signals, or transaction monitoring data
  • Demonstrated experience analyzing fraud trends beyond individual case investigations (e.g., pattern detection, ring analysis)
  • Experience using AI/LLM tools to enhance data analysis and investigations, with demonstrated ability to validate and apply outputs effectively
Preferred Qualifications
  • Experience at a fintech company, technology company, or reputable financial institution 
  • Strong experience analyzing organized fraud rings or large-scale ATO campaigns
  • Experience influencing fraud detection logic, models, or rule systems
  • Familiarity with AI/ML techniques applied to fraud detection and risk analysis
  • Ability to translate analytical findings into actionable improvements for product, engineering, or risk systems

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