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Fraud Detection Jobs in Virginia (NOW HIRING)

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

Use fraud detection tools, machine learning outputs, and risk-scoring systems to drive high-quality investigations * Independently own investigations from detection through resolution, including ...

Fraud Management Specialist

Merrifield, VA · On-site

$17 - $22.50/hr

Key skills for this role include fraud detection and investigation, data analysis, communication and documentation. This role will focus on protecting the organization and its members from financial ...

Collaborates with business units and Security to identify fraud trends, improve fraud detection capabilities, resolve fraud cases, and support strategic fraud prevention initiatives. Assists with ...

Collaborates with business units and Security to identify fraud trends, improve fraud detection capabilities, resolve fraud cases, and support strategic fraud prevention initiatives. Assists with ...

Collaborates with business units and Security to identify fraud trends, improve fraud detection capabilities, resolve fraud cases, and support strategic fraud prevention initiatives. Assists with ...

Collaborates with business units and Security to identify fraud trends, improve fraud detection capabilities, resolve fraud cases, and support strategic fraud prevention initiatives. Assists with ...

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Fraud Detection information

See Virginia salary details

$10

$17

$26

How much do fraud detection jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for fraud detection in Virginia is $17.90, according to ZipRecruiter salary data. Most workers in this role earn between $14.76 and $19.09 per hour, depending on experience, location, and employer.

What is a fraud detection job?

A Fraud Detection job involves identifying and preventing fraudulent activities in financial transactions, online activities, or business operations. Professionals in this role analyze data, monitor transactions, and use advanced tools to detect suspicious behavior. They work closely with risk management teams to develop fraud prevention strategies and ensure compliance with security protocols. Strong analytical skills, attention to detail, and knowledge of fraud detection techniques are essential for success in this field.

What are the key skills and qualifications needed to thrive in fraud detection?

To thrive in Fraud Detection, you need strong analytical skills, attention to detail, and a solid understanding of financial systems, often supported by a degree in finance, accounting, or a related field. Familiarity with fraud detection software, databases, and data analysis tools, along with certifications such as Certified Fraud Examiner (CFE), is highly valuable. Outstanding communication, critical thinking, and problem-solving abilities help professionals excel when collaborating across departments or investigating suspicious activities. These skills and qualifications are essential for effectively spotting risks, minimizing financial losses, and ensuring organizational integrity.

What are some common challenges faced by professionals in fraud detection roles?

Professionals in Fraud Detection often face the challenge of keeping up with rapidly evolving fraud tactics and constantly changing regulations. The role can require quick decision-making and meticulous analysis under tight deadlines, especially when investigating transactional anomalies. Collaboration with legal, compliance, and IT teams is common, as fraud prevention typically involves multiple departments working together. Staying updated on new schemes and maintaining vigilance is crucial to successfully protecting an organization from financial loss.

How can I become a fraud detection specialist?

To become a fraud detection specialist, candidates typically need a bachelor's degree in finance, accounting, or a related field, along with strong analytical skills and attention to detail. Relevant experience in finance, banking, or cybersecurity, as well as familiarity with fraud detection tools and data analysis software, is often required. Certifications such as Certified Fraud Examiner (CFE) can enhance job prospects in this field.

How hard is it to become a fraud detection?

Becoming a fraud detection professional typically requires a strong understanding of financial transactions, data analysis skills, and knowledge of fraud schemes. Many roles prefer candidates with a background in finance, cybersecurity, or related fields, along with certifications such as Certified Fraud Examiner (CFE). The difficulty depends on the level of position and prior experience, but developing relevant skills and gaining industry knowledge can facilitate entry into the field.

What qualifications do I need to work in fraud detection?

Fraud detection professionals typically need a bachelor's degree in fields such as finance, accounting, computer science, or related areas. Strong analytical skills, knowledge of fraud schemes, and familiarity with data analysis tools or software are important; certifications like Certified Fraud Examiner (CFE) can also enhance qualifications.

What cities in Virginia are hiring for Fraud Detection jobs?

Cities in Virginia with the most Fraud Detection job openings:

Infographic showing various Fraud Detection job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $37,226 per year, or $17.9 per hour.

Senior Fraud Investigations Analyst

ID.me

Mclean, VA

Full-time

Re-posted 9 days ago


ID.me rating

5.5

Company rating: 5.5 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

232nd of 245 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

What ID.me employees say

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