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Senior Fraud Analyst Jobs in Virginia (NOW HIRING)

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 ...

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 ...

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Senior Fraud Analyst information

See Virginia salary details

$53K

$108.9K

$141.3K

How much do senior fraud analyst jobs pay per year?

As of Aug 14, 2026, the average yearly pay for senior fraud analyst in Virginia is $108,904.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,700.00 and $135,800.00 per year, depending on experience, location, and employer.

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

AspectSenior Fraud AnalystFraud Investigator
CredentialsBachelor's degree, certifications like CFE or ACFE often preferredSimilar credentials, often with CFE or related certifications
Work EnvironmentAnalyzing data, developing fraud detection strategies, working with teamsConducting investigations, interviewing, collecting evidence
Employer & IndustryFinancial institutions, e-commerce, insurance companiesLaw enforcement agencies, financial institutions, corporate security
Search & Comparison IntentUnderstanding roles, responsibilities, and qualificationsDifferences in investigative scope and daily tasks

Senior Fraud Analysts focus on analyzing data and developing fraud prevention strategies, while Fraud Investigators conduct in-depth investigations and gather evidence. Both roles require similar credentials and are common in financial and corporate sectors, but their daily tasks and focus areas differ.

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

To thrive as a Senior Fraud Analyst, you need a solid background in data analysis, risk assessment, and fraud detection, typically supported by a degree in finance, accounting, or a related field. Familiarity with fraud detection software, data visualization tools, and knowledge of regulatory compliance systems like AML and KYC are essential. Strong analytical thinking, attention to detail, and effective communication skills help you identify trends and collaborate with internal teams. These skills are vital for accurately detecting fraudulent activity, minimizing financial losses, and ensuring regulatory compliance.

What does a senior fraud analyst do?

A Senior Fraud Analyst is responsible for detecting, investigating, and preventing fraudulent activities within an organization. They analyze complex data to identify suspicious patterns, develop strategies to mitigate risks, and work closely with other departments such as compliance, legal, and law enforcement. Senior Fraud Analysts often lead and mentor junior analysts, manage high-profile cases, and help implement new technologies or processes to enhance fraud detection capabilities. Their expertise ensures that the organization minimizes financial losses and maintains integrity in its operations.

What are some of the main challenges senior fraud analysts face when working with cross-functional teams?

Senior Fraud Analysts often collaborate with departments like IT, customer service, and legal to investigate and prevent fraudulent activities. A common challenge in these collaborations is aligning priorities, as each team may have different objectives and timelines. Clear communication and a proactive approach to sharing findings and recommendations are essential to ensure everyone is working toward the same goals. Developing strong relationships across teams can make it easier to implement effective anti-fraud strategies and respond quickly to emerging threats.

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 Senior Fraud Analyst jobs in Virginia?

For Senior Fraud Analyst jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Senior Fraud Analyst jobs in Virginia look for?

The top searched job categories for Senior Fraud Analyst jobs in Virginia are:

What cities in Virginia are hiring for Senior Fraud Analyst jobs?

Cities in Virginia with the most Senior Fraud Analyst job openings:

Senior Fraud Analyst jobs near you
Infographic showing various Senior 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 $108,904 per year, or $52.4 per hour.

Senior Fraud Investigations Analyst

ID.me

Mclean, VA

Full-time

Re-posted 2 days ago

ID.me rating

5.5

Company rating: 5.5 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

231st of 244 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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