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Software Engineer Fraud Detection Jobs in Virginia

Capital One

Lead Software Engineer - MLOps

Mclean, VA · On-site

Lead Software Engineer - MLOps Do you love building and pioneering in the technology space? Do you ... account takeover fraud detection and AI-driven vulnerability management. * Write performant ...

Capital One

Lead Software Engineer - MLOps

Mclean, VA · On-site

Lead Software Engineer - MLOps Do you love building and pioneering in the technology space? Do you ... account takeover fraud detection and AI-driven vulnerability management. * Write performant ...

Advisor Group

Fraud Analyst

Petersburg, VA · Hybrid

$65K - $75K/yr

... social engineering, and other financial crimes. * Gather, analyze, and document evidence from ... Knowledge of fraud detection tools, case management systems, and monitoring platforms. * Strong ...

ManTech International

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software ... Your work will enable fraud detection, audit prioritization, refund review, and compliance risk ...

ManTech

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software ... Your work will enable fraud detection, audit prioritization, refund review, and compliance risk ...

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All JobsSoftware Engineer Fraud Detection JobsSoftware Engineer Fraud Detection Jobs in Virginia

Software Engineer Fraud Detection information

What does a software engineer fraud detection do?

A Software Engineer in Fraud Detection designs and develops systems to identify and prevent fraudulent activities within digital platforms, such as banking or e-commerce environments. They build algorithms to analyze user behavior, detect anomalies, and flag suspicious transactions in real time. Their work often involves machine learning, big data analysis, and close collaboration with data scientists and security teams to continuously improve fraud detection accuracy. These engineers play a key role in protecting businesses and customers from financial loss and cybercrime.

How does a software engineer fraud detection typically collaborate with data scientists and analysts to identify fraudulent activity?

Software Engineers in Fraud Detection work closely with data scientists and analysts to build, refine, and deploy systems that detect and prevent fraud. While data scientists may develop models and identify patterns from large datasets, engineers are responsible for integrating these models into scalable, real-time systems within the company's technology stack. Regular communication and joint problem-solving are essential, as engineers must understand the logic behind models and analysts' findings to ensure accurate implementation and continuous improvement. This collaborative environment helps create robust fraud detection mechanisms that adapt to evolving threats.

What are the key skills and qualifications needed to thrive as a software engineer fraud detection, and why are they important?

To thrive as a Software Engineer in Fraud Detection, strong programming skills (such as Python, Java, or Scala), a solid understanding of algorithms, data structures, and experience with machine learning or statistical analysis are generally required, often supported by a degree in computer science or a related field. Familiarity with big data platforms (like Hadoop or Spark), real-time analytics systems, and fraud detection tools or frameworks is typically expected. Analytical thinking, problem-solving abilities, and effective communication are key soft skills that differentiate top performers in this field. These skills are crucial for developing robust systems that can quickly identify and prevent fraudulent activities, protecting both users and organizations.

What is the difference between Software Engineer Fraud Detection vs Data Scientist Fraud Detection?

AspectSoftware Engineer Fraud DetectionData Scientist Fraud Detection
Required CredentialsBachelor's in CS or related field, programming skillsBachelor's or higher in CS, Statistics, or Data Science
Work EnvironmentDevelops fraud detection systems, writes code, implements algorithmsAnalyzes data, builds models, interprets results
Employer & Industry UsageFinancial institutions, fintech, e-commerceFinancial services, tech companies, insurance
Common Search & ComparisonFocuses on software development for fraud detectionFocuses on data analysis and modeling for fraud detection

While both roles work in fraud detection, Software Engineer Fraud Detection primarily develops and maintains detection systems through coding, whereas Data Scientist Fraud Detection analyzes data and builds models to identify fraudulent activity. Both roles often collaborate but differ in their core focus and skill sets.

What are popular job titles related to Software Engineer Fraud Detection jobs in Virginia?

For Software Engineer Fraud Detection jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Software Engineer Fraud Detection jobs in Virginia look for?

The top searched job categories for Software Engineer Fraud Detection jobs in Virginia are:

What cities in Virginia are hiring for Software Engineer Fraud Detection jobs?

Cities in Virginia with the most Software Engineer Fraud Detection job openings:

Software Engineer Fraud Detection jobs near you
Infographic showing various Software Engineer Fraud Detection job openings in Virginia as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Fraud Analytics Senior Consultant Lead (Senior Consultant II)

Guidehouse

Arlington, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 5 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:

TheFraud AnalyticsSeniorConsultantLeadwillsupporthighly specialized fraud analytics activities across the Cybersecurity Fraud Analytics and Monitoring program. This position will independentlyassess difficult technicaland analyticalproblems, develop practicalalternativesandrecommendations,supportstrategic, tactical, and operational planning, andcoordinate task-level activitiesfocused on predictive analytics, deep forensics, fraud detection, incidentsupport, data integration, and continuous enhancement of analytics capabilities.

  • Supporthighly specialized fraud analytics activities related to predictive analytics, forensic analysis, cybersecurity monitoring, fraud detection, incidentsupport, and continuous enhancement.

  • Coordinate analytical activities acrossassigned workstreams, review analytical products for quality and consistency, and provide guidance to junior team memberssupporting 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.

  • Supportdevelopment, 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 informationtoidentifyanomalous, malicious, or fraudulent activity.

  • Supportroot-cause analysis, incident coordination, mitigation recommendations, andtimelyreporting 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.

  • Supportdata extraction, transformation, loading, schema alignment, data qualityassessment, 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 tosupportanalysts, engineers, data scientists, and operational staffassigned to fraud analytics activities.

  • Work independently on routine activities, receive general direction on newassignments, 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 andmaintaina 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'sdegree preferred.

  • Five (5) or more years of professional experiencesupporting 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 orsupportingstrategic, 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 toidentifyanomalies, patterns, correlations, risks, orpotentialfraudulent activity.

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

  • Experiencesupporting 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,supportdelivery, 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 includingSplunk, Microsoft Word, Microsoft Excel, and Microsoft PowerPoint.

  • Experiencesupporting 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:

  • Experiencesupporting fraud analytics, cybersecurity analytics, data science, or incident response programs in a federal, financial services, intelligence community, or large enterprise environment.

  • Experiencesupporting 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.

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

  • Experiencesupporting 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 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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