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Fraud Analytics Jobs (NOW HIRING)

Enova International

Analytics Analyst - Fraud

Chicago, IL · On-site

$63K - $83K/yr

... Fraud Analytics team, you'll be the quantitative engine of our fraud prevention effort. You'll develop, enhance, and test the models and pattern-recognition pipelines that surface emerging fraud ...

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How much do fraud analytics jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for fraud analytics in the United States is $30.68, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $33.89 per hour, depending on experience, location, and employer.

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.

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 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.

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.

How do I become a fraud analyst?

To become a fraud analyst, typically a bachelor's degree in finance, accounting, or a related field is required. Relevant skills include data analysis, knowledge of fraud detection tools, and familiarity with databases and reporting software; certifications like Certified Fraud Examiner (CFE) can enhance prospects. Gaining experience through internships or entry-level roles in finance or security is also beneficial.

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.

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 does a fraud analytics do?

A fraud analyst uses data analysis techniques to detect and prevent fraudulent activities within financial transactions or business operations. They analyze large datasets, identify patterns of suspicious behavior, and implement strategies to reduce fraud risk, often using tools like SQL, Excel, or specialized fraud detection software. Strong analytical skills and knowledge of fraud schemes are essential for this role.
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Fraud Analytics jobs near you
Infographic showing various Fraud Analytics job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution, with an average salary of $63,822 per year, or $30.7 per hour.

Principal - Fraud Analytics Technical Lead (Consulting Manager)

Guidehouse Digital, LLC

Arlington, VA • On-site

$130 - $180/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 9 days ago

Job description

Job Family:Data Science & AnalysisTravel Required:NoneClearance Required:Ability to Obtain Public TrustWhat You Will Do:The Principal Fraud Analytics Technical Lead will lead day-to-day execution of fraud analytics workstreams, coordinate delivery of analytical products, and provide technical guidance supporting fraud monitoring, investigations, reporting, and platform operations. This position will use broad judgment to select methods and techniques, analyze complex situations and data, prepare briefings and recommendations, and provide task-level technical guidance to improve fraud detection, analytics workflows, and operational outcomes.Lead execution of assigned fraud analytics workstreams, continuous enhancements, application onboarding activities, platform support efforts, and stakeholder coordination activities.Analyze complex situations and data using professional concepts, methodologies, and broad judgment to identify fraudulent activity, anomalous behavior, emerging risks, and improvement opportunities.Identify alternative applications for existing tools, techniques, technologies, data models, and analytics workflows to improve results and influence operational outcomes.Provide day-to-day technical leadership and work coordination to support timely completion of analytics, reporting, data integration, and investigative activities.Implement, test, validate, and maintain fraud indicators, detection logic, analytical algorithms, predictive models, and statistical analysis approaches.Support data ingestion, schema alignment, data quality review, extract, transform, load activities, and analytics workflow improvements.Collaborate with technical teams, analysts, engineers, and stakeholders to clarify requirements, evaluate options, and support delivery of fraud analytics capabilities.Prepare and present technical briefings, reports, executive summaries, dashboards, and recommendations based on analytical findings and operational needs.Support investigative and forensic analysis of transactional, behavioral, and system activity data to identify trends, root causes, and potential attack vectors.Track workstream progress, coordinate task assignments, and support delivery of recurring reports, analytical findings, and stakeholder briefings.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 STEM related field.SEVEN (7) or more years of professional experience supporting fraud analytics, cybersecurity analytics, data science, data engineering, predictive analytics, incident response, investigations, platform advisory, or related technical delivery.Experience leading tasks or program segments in data analytics, cybersecurity, fraud analytics, systems integration, or platform advisory environments.Experience analyzing complex situations and data using professional concepts, methodologies, broad judgment, and independent problem solving.Experience preparing and presenting technical reports, briefings, dashboards, recommendations, or executive-ready analytical products.Experience providing technical direction, mentorship, or task-level leadership to team members completing analytics, data integration, documentation, or investigative tasks.Experience leading day-to-day technical execution of analytical projects, investigations, or delivery teams.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 with web development languages and frameworks such as HTML, Python/Flask, JavaScript, CSS, jQuery, or React in support of platform advisory, analytics ecosystem, data/application integration, dashboard, or application-facing analytics 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:Experience supporting fraud analytics, cybersecurity analytics, data science, or incident response in a federal or large enterprise environment.Experience supporting online application monitoring, identity verification, digital identity, credential service provider integrations, or large-scale transaction monitoring environments.Experience developing or supporting machine learning models, predictive models, statistical models, analytical algorithms, fraud indicators, or detection logic.Experience with SIEM platforms, including Splunk, cybersecurity monitoring technologies, or large-scale log analysis.Experience supporting incident response, investigations, open-source research, threat intelligence, or stakeholder coordination.Experience supporting data ingestion, schema alignment, data source onboarding, data architecture, or analytics workflow integration.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 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 InsurancePersonal and Family Sick Time & Company Paid HolidaysParental Leave401(k) Retirement PlanGroup Term Life and Travel AssistanceVoluntary Life and AD&D InsuranceHealth Savings Account, Health Care & Dependent Care Flexible Spending AccountsTransit and Parking Commuter BenefitsShort-Term & Long-Term DisabilityTuition Reimbursement, Personal Development, Certifications & Learning OpportunitiesEmployee Referral ProgramCorporate Sponsored Events & Community OutreachCare.com annual membershipEmployee Assistance ProgramSupplemental 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 bonusAbout GuidehouseGuidehouse 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. #J-18808-Ljbffr

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