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Fraud Data Analyst Jobs in Virginia (NOW HIRING)

ID.me

Fraud Investigations Analyst

Mclean, VA

Investigate account takeover (ATO) activity using fraud indicators, behavioral signals, and transaction data * Analyze patterns across multiple accounts to identify coordinated or emerging fraud ...

ID.me

Fraud Investigations Analyst

Mclean, VA · On-site +1

Investigate account takeover (ATO) activity using fraud indicators, behavioral signals, and transaction data * Analyze patterns across multiple accounts to identify coordinated or emerging fraud ...

ID.me

Fraud Investigations Analyst

Mclean, VA · On-site

Investigate account takeover (ATO) activity using fraud indicators, behavioral signals, and transaction data * Analyze patterns across multiple accounts to identify coordinated or emerging fraud ...

Elder Research

Data Analyst

Arlington, VA · On-site

Data Analyst General Information Requisition # 677 Locations USA-VA-Arlington Posting Date 03/04 ... Domain Expertise (fraud) or management Clearance Requirements: * Must currently possess an IRS ...

Elder Research

Data Analyst

Arlington, VA · Hybrid

Data Analyst General Information Requisition # 677 Locations USA-VA-Arlington Posting Date 03/04 ... Domain Expertise (fraud) or management Clearance Requirements: * Must currently possess an IRS ...

Booz Allen Hamilton, Inc.

Cyber Data Analyst

Chantilly, VA · On-site

$62K - $141K/yr

Cyber Data Analyst The Opportunity: As a cyber data analyst, you love diving into data and turning ... We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI ...

Booz Allen Hamilton, Inc.

Cyber Data Analyst

Chantilly, VA · On-site

$62K - $141K/yr

Share Cyber Data Analyst The Opportunity: As a cyber data analyst, you love diving into data and ... We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI ...

Booz Allen Hamilton

Cyber Data Analyst

Chantilly, VA · On-site

$62K - $141K/yr

As a cyber data analyst, you love diving into data and turning it into meaningful insights. With ... We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI ...

Booz Allen Hamilton

Cyber Data Analyst

Chantilly, VA · On-site

$62K - $141K/yr

Cyber Data Analyst The Opportunity: As a cyber data analyst, you love diving into data and turning ... We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI ...

ID.me

Senior Fraud Investigations Analyst

Mclean, VA · On-site

... data analysis and collaboration with various teams. Responsibilities : • Lead complex account takeover (ATO) investigations, including multi-account and organized fraud activity • Analyze large ...

Mitre

Senior Software Developer, Data Analytics

Mclean, VA · On-site

$55 - $72.75/hr

Experience analyzing Medicare Fraud data and CMS health data is needed for some projects Clearance Statement: Hands-on software development skills (Java, R, C++, C#, python, Javascript) with analytic ...

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Fraud Data Analyst information

See Virginia salary details

$33.7K

$81.9K

$134.8K

How much do fraud data analyst jobs pay per year?

As of Jul 17, 2026, the average yearly pay for fraud data analyst in Virginia is $81,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Fraud Data Analyst position, and why are they important?

A Fraud Data Analyst should have a strong background in data analytics, statistics, and experience with financial or transactional data, often holding a degree in mathematics, statistics, computer science, or a related field. Familiarity with tools such as SQL, Python, R, anti-fraud software platforms, and certifications like Certified Fraud Examiner (CFE) are commonly expected. Analytical thinking, attention to detail, and effective communication are vital soft skills for interpreting data and presenting findings to stakeholders. Together, these skills ensure accurate identification and prevention of fraud, helping organizations mitigate risks and maintain trust.

What does a Fraud Data Analyst do?

A Fraud Data Analyst detects and prevents fraudulent activities by analyzing data patterns, identifying suspicious transactions, and developing fraud detection models. They use statistical techniques, machine learning, and data visualization tools to uncover fraud trends and mitigate risks. Their role involves collaborating with fraud prevention teams, financial analysts, and law enforcement to enhance security measures. Additionally, they create reports and dashboards to monitor fraud metrics and improve fraud detection strategies.

What does a typical day look like for a Fraud Data Analyst?

A typical day for a Fraud Data Analyst involves analyzing large sets of financial or transactional data to detect unusual patterns or trends that might indicate fraudulent activity. You may collaborate closely with investigation teams, compliance officers, and IT professionals to refine detection models and respond quickly to potential threats. Weekly responsibilities also include creating detailed reports, documenting findings, and recommending improvements to internal controls or monitoring processes. This dynamic role often requires balancing independent analytical work with cross-functional teamwork to effectively combat fraud.

What are popular job titles related to Fraud Data Analyst jobs in Virginia? For Fraud Data Analyst jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Fraud Data Analyst jobs in Virginia look for? The top searched job categories for Fraud Data Analyst jobs in Virginia are:
Fraud Data Analyst jobs near you
Fraud Investigations Analyst

Fraud Investigations Analyst

ID.me

Mclean, VA

Other

Re-posted 4 days ago

ID.me rating

5.6

Company rating: 5.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

195th of 209 rated software companies

Job description

Fraud Investigations AnalystRole Overview

ID.me is looking for an Fraud Investigations Analyst to join our organization as an execution-focused individual contributor. This role centers on investigating account takeover (ATO) activity, analyzing fraud signals, and supporting detection efforts that protect millions of users.

We are seeking someone who goes beyond basic case handling and can analyze trends, identify patterns across multiple accounts, and leverage data to inform investigations. As an Analyst, you will work across fraud detection tools, datasets, and risk systems to uncover coordinated fraud activity and contribute to improving detection capabilities.

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

Responsibilities
  • Investigate account takeover (ATO) activity using fraud indicators, behavioral signals, and transaction data
  • Analyze patterns across multiple accounts to identify coordinated or emerging fraud trends (not just single-account reviews)
  • Use SQL, Python, or similar tools to query datasets and support investigations
  • Leverage fraud detection tools and risk-scoring systems to identify suspicious activity
  • Execute investigations and document findings, escalating higher-risk or complex cases as needed
  • Support tuning and optimization of fraud detection rules, alerts, and signal usage
  • Partner with cross-functional teams to improve fraud detection coverage and data quality
  • Monitor trends in ATO activity and contribute to ongoing detection strategy improvements
  • Leverage AI/LLM tools to accelerate investigations, including querying data, identifying patterns, and summarizing fraud activity across accounts
Basic Qualifications
  • Bachelor's degree from an accredited institution; preferred fields include quantitative disciplines such as Economics, Computer Science, Statistics, Mathematics, or similar
  • 2+ years of experience in fraud investigations, threat intelligence, cybersecurity, or risk management, with exposure to account takeover (ATO)
  • 1+ years of experience using SQL, Python, or similar tools to analyze fraud data or investigate trends
  • 1+ years of hands-on experience using fraud detection tools, machine learning models, or risk-scoring methodologies
  • 1+ years of experience interpreting fraud indicators, behavioral signals, or transaction monitoring data
  • Familiarity with using AI/LLM tools (e.g., ChatGPT, Claude) to support data analysis or investigative workflows
Preferred Qualifications
  • Experience working at a fintech company, technology company, or reputable financial institution
  • Experience analyzing organized fraud rings or large-scale fraud patterns
  • Familiarity with machine learning-driven fraud detection systems or AI-assisted analysis

What ID.me employees say

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Hours and flexibility

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