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Fraud Analytics Jobs in Washington (NOW HIRING)

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$72

How much do fraud analytics jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for fraud analytics in Washington is $34.75, according to ZipRecruiter salary data. Most workers in this role earn between $23.94 and $38.37 per hour, depending on experience, location, and employer.

How does a fraud analytics professional typically collaborate with other departments within an organization?

Fraud Analytics professionals frequently work cross-functionally, partnering with teams such as IT, compliance, risk management, and customer service. They analyze data to identify suspicious activities and then communicate findings to relevant stakeholders, often participating in investigations or recommending process improvements. Effective collaboration ensures that fraud detection strategies stay up-to-date and align with broader organizational goals, making strong communication skills and teamwork essential for success in this role.

What is the difference between Fraud Analytics vs Fraud Prevention Specialist?

AspectFraud AnalyticsFraud Prevention Specialist
Primary FocusAnalyzing data to detect and predict fraudulent activitiesImplementing strategies and actions to prevent fraud
Skills & CertificationsData analysis, statistical tools, SQL, certifications like Certified Fraud Examiner (CFE)Customer service, risk management, fraud detection techniques, certifications like CFE
Work EnvironmentData analysis teams, financial institutions, tech companiesCustomer support centers, financial institutions, retail
GoalsIdentify patterns, develop models, improve detection accuracyReduce fraud incidents, enhance prevention measures

While both roles aim to combat fraud, Fraud Analytics focuses on analyzing data to identify and predict fraudulent activities, whereas Fraud Prevention Specialists implement measures to prevent fraud from occurring. Both roles often collaborate but serve different functions within fraud management strategies.

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

To thrive in Fraud Analytics, you need strong analytical abilities, proficiency in statistics, and experience with data analysis, often supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with data mining tools, SQL, Python, machine learning platforms, and certifications like Certified Fraud Examiner (CFE) are typically required. Attention to detail, critical thinking, and effective communication are essential soft skills for interpreting data patterns and presenting findings to stakeholders. These skills are crucial for detecting fraudulent activities, minimizing financial risks, and supporting organizational integrity.

How much does a fraud analyst get paid?

A fraud analyst's salary typically ranges from $50,000 to $80,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with certifications or specialized skills can earn higher salaries. Many roles also include benefits such as bonuses and professional development opportunities.

What is fraud analytics?

Fraud analytics is the process of using data analysis, statistical methods, and machine learning techniques to detect, prevent, and investigate fraudulent activities within an organization. Professionals in this field analyze large sets of transactional and behavioral data to identify patterns and anomalies that may indicate fraud. Fraud analytics is commonly used in industries such as banking, insurance, retail, and e-commerce to minimize financial losses and protect customers. The role often involves working with specialized software and collaborating with other teams to implement effective anti-fraud strategies.

Is fraud analysis a good career?

Fraud analysis is a growing field within risk management that involves detecting and preventing fraudulent activities using data analysis and investigative skills. It offers opportunities for advancement, requires knowledge of analytics tools, and often involves working in financial or e-commerce environments. The role can be stable and rewarding for those interested in security and data-driven decision making.
What are the most commonly searched types of Fraud Analytics jobs in Washington? The most popular types of Fraud Analytics jobs in Washington are:
What are popular job titles related to Fraud Analytics jobs in Washington? For Fraud Analytics jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Fraud Analytics jobs in Washington look for? The top searched job categories for Fraud Analytics jobs in Washington are:
What cities in Washington are hiring for Fraud Analytics jobs? Cities in Washington with the most Fraud Analytics job openings:
Fraud Analytics jobs near you
Infographic showing various Fraud Analytics job openings in Washington as of August 2026, with employment types broken down into 1% Internship, 92% Full Time, 3% Part Time, and 4% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $72,285 per year, or $34.8 per hour.

Associate - Fraud Analytics Consultant (Senior Consultant)

Guidehouse

Arlington, VA

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 5 days ago

Guidehouse rating

7.7

Company rating: 7.7 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

42nd 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:

TheAssociateII Fraud Analytics Consultant willsupportfraud analytics,datareview, reporting, and investigative analysis activities as part of a multidisciplinary team. This position will use developed analytical skills to evaluate data,supportassigneddatapreparation and quality reviewactivities,assistwith analyticalwork products, and contribute to recurring and ad hoc fraud analyticstasks under regular review.

  • Supportdata preparation, transformation, and quality review activities used in analytics and reporting processes.

  • Assistwith testing and validation of data ingestion outputs, analytical datasets, and data source updates under guidance fromseniorteam members.

  • Use independent judgment to evaluate options, apply developed analytical skills, and recommend solutions for analytical challenges of limited scope.

  • Analyze structured and unstructured data toidentifytrends, anomalies, patterns, correlations, and potential indicators of suspicious or fraudulent activity.

  • Supportrefinement and documentation of fraud indicators, analytical datasets, detection logic, and recurring fraud analytics findings.

  • Contribute to data mining, pattern recognition, link analysis, behavioral analysis, andbasic statistical analysis activities thatsupportoperational decision-making.

  • Supportanalysis of transactional, behavioral, and system activity data toidentifytrends and indicators requiring further review.

  • Document technical processes, analytical methods, dataassumptions, findings, and work products tosupportknowledge sharing and operational continuity.

  • Coordinate with technical teams, analysts, engineers, and client stakeholders to clarify requirements, exchange information, andsupportdelivery ofassigned tasks.

  • Prepare reports, dashboards, briefings, presentations, and technical documentation that communicate analytical findings to technical and non-technical audiences.

  • 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 andmaintaina Public Trust clearance.

  • Bachelor's degree in Data Science, Computer Science, Cybersecurity, Information Systems, Statistics, Mathematics, Engineering, Operations Research, Information Science, ora relatedfield.

  • Four (4) or more years of professional experiencesupporting data analytics, fraud analytics, business intelligence, data science, investigations, reporting, ora relatedanalytical discipline.

  • Experiencesupporting data integration, data preparation, extract, transform, load activities, data quality initiatives, or analytical dataset development.

  • Experience analyzing datasets andidentifyingtrends, anomalies, patterns, or correlations using analytical and statistical techniques.

  • Experience working with SQL and data analysis tools to query, manipulate, and analyze data.

  • Experience developing reports, dashboards, visualizations, or analytical products thatsupportoperational or business decision-making.

  • Experience communicating technical findings to technical and non-technical audiences.

  • Experience applying independent judgment to evaluate options, follow standard principles and techniques, and recommendappropriate solutionsforassigned work.

  • Ability and willingness to work onsite at the client location in Lanham, Maryland five (5) days per week.


What Would Be Nice To Have:

  • Experiencesupporting fraud analytics, financial crime, digital identity, risk analytics, investigations, or business intelligence programs.

  • Experience using Microsoft Office products, SQL, reporting tools, or analytics tools such as Python, Power BI, Tableau, or similar technologies.

  • Experience with enterprise reporting platforms, log analysis tools, analytical environments, or large-scale data review activities.

  • Experiencesupporting data preparation, data quality review, reporting, dashboarding, or analytical work products.

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

  • Familiarity with Agile delivery methodologies, collaborative development environments, and federal consulting environments.

  • Candidate currentlypossessesan 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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