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Fraud Analyst Jobs in Reston, VA (NOW HIRING)

EagleBank

US-MD-Silver Spring

Silver Spring, MD · Hybrid

$69K - $108K/yr

The Fraud Investigator develops and conducts fraud investigations, monitors and dispositions fraud alerts, and mitigates financial losses through asset recovery for EagleBank Corp. Monitors and ...

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Fraud Analyst information

See Reston, VA salary details

$16

$31

$66

How much do fraud analyst jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for fraud analyst in Reston, VA is $31.92, according to ZipRecruiter salary data. Most workers in this role earn between $22.02 and $35.24 per hour, depending on experience, location, and employer.

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 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.

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.

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 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.

How much do fraud analysts get paid?

Fraud analysts typically earn a median annual salary between $50,000 and $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.

Is fraud analysis a good career?

Fraud analysis is a growing field that involves detecting and preventing financial crimes using data analysis and investigative skills. It offers opportunities for advancement, requires attention to detail, and often involves working with specialized software and industry regulations. Many professionals find it a stable and rewarding career path in finance and security sectors.

What qualifications do you need to be a fraud analyst?

A fraud analyst typically needs a bachelor's degree in finance, accounting, or a related field. Strong analytical skills, attention to detail, and experience with data analysis tools or fraud detection software are important. Certifications such as Certified Fraud Examiner (CFE) can enhance job prospects.
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Fraud Analyst jobs near you
Infographic showing various Fraud Analyst job openings in Reston, VA as of August 2026, with employment types broken down into 84% Full Time, 10% Part Time, 1% Temporary, and 5% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $66,398 per year, or $31.9 per hour.

Fraud Analytics Senior Consultant Lead (Senior Consultant II)

Guidehouse

Arlington, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 3 days ago

Guidehouse rating

8.0

Company rating: 8.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

35th of 72 rated business consultants

Job description

Job Family:
Data Science & Analysis
Travel Required:
None
Clearance Required:
Ability to Obtain Public Trust
What You Will Do:
The Fraud Analytics Senior Consultant Lead will support highly specialized fraud analytics activities across the Cybersecurity Fraud Analytics and Monitoring program. This position will independently assess difficult technical and analytical problems, develop practical alternatives and recommendations, support strategic, tactical, and operational planning, and coordinate task-level activities focused on predictive analytics, deep forensics, fraud detection, incident support, data integration, and continuous enhancement of analytics capabilities.
  • Support highly specialized fraud analytics activities related to predictive analytics, forensic analysis, cybersecurity monitoring, fraud detection, incident support, and continuous enhancement.

  • Coordinate analytical activities across assigned workstreams, review analytical products for quality and consistency, and provide guidance to junior team members supporting fraud analytics initiatives.

  • Assess difficult technical and operational problems across fraud analytics, data ingestion, application monitoring, stakeholder coordination, and incident response environments.

  • Develop practical alternatives, recommendations, and solution options that consider client requirements, operational priorities, data limitations, and cybersecurity fraud risks.

  • Contribute to strategic, tactical, and operational-level planning for analytics initiatives, application onboarding, data source integration, and fraud detection capability expansion.

  • Support development, refinement, testing, documentation, and implementation of fraud indicators, analytical algorithms, detection logic, predictive models, and forensic analysis approaches.

  • Analyze structured and unstructured data, transaction logs, user behavior, system activity, and investigative information to identify anomalous, malicious, or fraudulent activity.

  • Support root-cause analysis, incident coordination, mitigation recommendations, and timely reporting for suspicious activity, fraud incidents, and emerging threat patterns.

  • Collaborate with application owners, identity management stakeholders, business representatives, and technical resources to understand user behavior, transaction data, data quality, and integration requirements.

  • Support data extraction, transformation, loading, schema alignment, data quality assessment, data source onboarding, and analytics workflow improvements across large-scale environments.

  • Prepare and present technical reports, executive summaries, dashboards, briefings, recommendations, and documentation that communicate findings to technical and non-technical stakeholders.

  • Provide task-level coordination, analytical guidance, and knowledge sharing to support analysts, engineers, data scientists, and operational staff assigned to fraud analytics activities.

  • Work independently on routine activities, receive general direction on new assignments, and ensure work products meet client requirements, quality expectations, and delivery timelines.

  • Work onsite at the client location in Lanham, Maryland five (5) days per week and collaborate closely with government personnel and contractor team members.

What You Will Need:
  • Ability to obtain and maintain a Public Trust clearance.

  • Bachelor's degree in Data Science, Computer Science, Cybersecurity, Information Systems, Statistics, Mathematics, Engineering, Operations Research, Information Science, or a related field; Master's degree preferred.

  • Five (5) or more years of professional experience supporting fraud analytics, cybersecurity analytics, data science, data engineering, predictive analytics, forensic analysis, investigations, fraud operations, platform advisory, or related technical delivery.

  • Experience independently solving difficult technical or analytical problems using professional concepts, procedures, and practical judgment.

  • Experience developing system requirements or supporting strategic, tactical, or operational-level planning for analytics, cybersecurity, fraud detection, or data-driven programs.

  • Experience analyzing large structured and unstructured datasets, transaction logs, application activity, user behavior, or system data to identify anomalies, patterns, correlations, risks, or potential fraudulent activity.

  • Experience supporting predictive analytics, machine learning, statistical analysis, data mining, link analysis, network analytics, text mining, data visualization, or related analytical techniques.

  • Experience supporting data extraction, transformation, loading, data integration, data quality review, schema alignment, or analytics workflow improvement activities.

  • Experience preparing and presenting technical reports, dashboards, briefings, executive summaries, documentation, or recommendations for technical and non-technical stakeholders.

  • Experience coordinating with multidisciplinary teams, client stakeholders, technical resources, and operational personnel to clarify requirements, support delivery, and communicate findings.

  • Experience using tools and technologies such as Python, R, Java, Linux shell scripting, SQL/no-SQL databases, Spark, Elasticsearch, Parquet, SIEM platforms including Splunk, Microsoft Word, Microsoft Excel, and Microsoft PowerPoint.

  • Experience supporting analytics platforms, data integration efforts, dashboard development, reporting environments, or analytical applications.
  • Ability and willingness to work onsite at the client location in Lanham, Maryland five (5) days per week.

What Would Be Nice To Have:
  • Experience supporting fraud analytics, cybersecurity analytics, data science, or incident response programs in a federal, financial services, intelligence community, or large enterprise environment.

  • Experience supporting digital identity, authentication services, online application monitoring, or large-scale transaction processing environments.

  • Experience developing, refining, testing, or validating machine learning models, predictive models, statistical models, analytical algorithms, fraud indicators, or detection logic.

  • Experience supporting incident response, open-source research, threat intelligence, root-cause analysis, mitigation planning, or stakeholder coordination.

  • Experience supporting data ingestion, schema alignment, data architecture, data quality improvement, platform advisory services, or analytics ecosystem modernization.

  • Experience developing dashboards or visualizations using Power BI, Tableau, Spotfire, Microsoft Excel, or similar tools.

  • Familiarity with cybersecurity programs, federal consulting environments, Agile delivery methodologies, or collaborative development environments.

  • Candidate currently possesses an active Internal Revenue Service (IRS) Moderate Background Investigation clearance or has held one within the last six (6) months.

What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
  • Medical, Rx, Dental & Vision Insurance
  • Personal and Family Sick Time & Company Paid Holidays
  • Parental Leave
  • 401(k) Retirement Plan
  • Group Term Life and Travel Assistance
  • Voluntary Life and AD&D Insurance
  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
  • Transit and Parking Commuter Benefits
  • Short-Term & Long-Term Disability
  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
  • Employee Referral Program
  • Corporate Sponsored Events & Community Outreach
  • Care.com annual membership
  • Employee Assistance Program
  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
  • Position may be eligible for a discretionary variable incentive bonus

About Guidehouse
Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

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