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Fraud Detection Jobs in Virginia (NOW HIRING)

Fraud Risk Analytics Manager

Glen Allen, VA ยท Hybrid

$106K - $130K/yr

Strong experience with fraud detection, prevention, and decisioning systems in complex environments * Demonstrated ability to balance risk reduction, customer experience, and operational efficiency

Fraud Risk Analytics Manager

Glen Allen, VA ยท Hybrid

$106K - $130K/yr

Strong experience with fraud detection, prevention, and decisioning systems in complex environments * Demonstrated ability to balance risk reduction, customer experience, and operational efficiency

Applying advanced cyber knowledge (IP protocols, IP addressing, geolocation, fraud detection, spoofing techniques) * Translating complex technical concepts into clear, actionable reporting for ...

Senior Data Engineer

Arlington, VA ยท On-site

$122K - $165K/yr

We are seeking a Senior Data Engineer to support the infrastructure and pipelines powering mission-critical fraud detection analytics. This role ensures reliable integration, execution, and ...

Senior Data Engineer

Arlington, VA ยท Hybrid

$121K - $165K/yr

We are seeking a Senior Data Engineer to support the infrastructure and pipelines powering mission-critical fraud detection analytics. This role ensures reliable integration, execution, and ...

Design, develop, and evaluate models used to detect fraud, identity theft, and anomalous behavior. * Support the full lifecycle of analytical models, including development, validation, deployment ...

Design, develop, and evaluate models used to detect fraud, identity theft, and anomalous behavior. * Support the full lifecycle of analytical models, including development, validation, deployment ...

Showing results 41-60

Fraud Detection information

See Virginia salary details

$10

$17

$26

How much do fraud detection jobs pay per hour?

As of Aug 7, 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 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.

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 experience with data analysis tools or software are important; certifications like Certified Fraud Examiner (CFE) can also enhance qualifications.

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 degree do you need to be a fraud detection investigator?

A fraud detection investigator typically needs at least a bachelor's degree in fields such as criminal justice, finance, accounting, or a related area. Relevant skills include knowledge of financial systems, data analysis, and sometimes certifications like Certified Fraud Examiner (CFE) can enhance job prospects.

How do you become a fraud detection specialist?

To become a fraud detection specialist, individuals typically need a bachelor's degree in fields like finance, accounting, or cybersecurity. Gaining experience with data analysis, fraud detection tools, and certifications such as Certified Fraud Examiner (CFE) can enhance qualifications for this role.

Are fraud detection professionals in demand?

Yes, fraud detection professionals are in high demand across industries such as banking, e-commerce, and insurance due to increasing financial crimes. They often require skills in data analysis, knowledge of fraud prevention tools, and certifications like Certified Fraud Examiner (CFE). The role is expected to grow as organizations prioritize security and fraud mitigation strategies.
What job categories do people searching Fraud Detection jobs in Virginia look for? The top searched job categories for Fraud Detection jobs in Virginia are:
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, 79% Full Time, 19% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $37,226 per year, or $17.9 per hour.

Senior Investigative Analyst (Fraud Analytics & Investigative Support)

Praescient Analytics

Fairfax, VA โ€ข On-site, Remote

Full-time

Retirement, PTO

Re-posted 12 days ago


Job description

Location: Remote (Occasional Travel May Be Required)
Clearance: Ability to obtain and maintain a Public Trust
Position Overview
Praescient Analytics is seeking an experienced Senior Investigative Analyst to support federal fraud detection, investigative analysis, and program integrity initiatives. This individual will analyze structured and unstructured data from a wide range of public and non-public sources to identify fraud indicators, develop investigative leads, and produce high-quality intelligence products supporting Offices of Inspector General (OIGs), law enforcement, and government oversight organizations.
The ideal candidate is an analytical problem solver with experience investigating complex fraud schemes involving government benefit programs and financial crimes. They are equally comfortable conducting detailed research, analyzing large datasets, identifying patterns and relationships, and transforming complex findings into clear investigative products that support operational decision-making.
Key Responsibilities
  • Conduct investigative analysis supporting fraud, waste, abuse, and mismanagement investigations involving federal benefit programs and other government-funded initiatives.
  • Analyze structured and unstructured data from public, non-public, commercial, financial, and law enforcement sources to identify fraud indicators, emerging patterns, and investigative leads.
  • Research and evaluate fraud typologies, suspicious activities, and complex entity relationships associated with government benefit fraud and financial crimes.
  • Develop investigative reports, referral packages, case summaries, intelligence products, and briefing materials suitable for referral to law enforcement and oversight organizations.
  • Perform link analysis and relationship analysis using SQL, Neo4j, i2 Analyst's Notebook, and comparable investigative analysis platforms.
  • Identify organized fraud rings, synthetic identities, eligibility fraud, identity theft, cross-program fraud, and other complex fraud schemes through data-driven investigative techniques.
  • Collaborate with Data Scientists, Graph Data Scientists, Data Engineers, Forensic Accountants, and Government investigators to integrate analytic findings into comprehensive investigative products.
  • Validate investigative findings, document analytical methodologies, and maintain detailed case documentation supporting investigative conclusions.
  • Present investigative findings, analytical assessments, and recommendations to Government leadership, investigators, and oversight stakeholders.
  • Support continuous improvement of investigative methodologies by incorporating new analytic techniques, emerging data sources, and evolving fraud indicators.

Required Qualifications
  • Three (3) or more years of professional experience conducting investigative analysis supporting government benefit fraud, financial crimes, or comparable investigative missions.
  • Three (3) or more years of experience analyzing structured and unstructured data from public and non-public data sources to identify fraud indicators, suspicious patterns, and investigative leads.
  • Strong working knowledge of fraud typologies relevant to government benefit programs, including identity fraud, eligibility fraud, organized fraud rings, synthetic identity schemes, and related financial crimes.
  • Proficiency with analytical tools including SQL, Microsoft Excel, Neo4j, i2 Analyst's Notebook, or comparable link analysis and investigative platforms.
  • Three (3) or more years of experience preparing investigative reports, referral packages, intelligence products, and case summaries suitable for law enforcement or oversight organizations.
  • Excellent written and verbal communication skills, including the ability to clearly present investigative findings to senior Government stakeholders.
  • Strong analytical reasoning, critical thinking, and problem-solving skills with exceptional attention to detail.

Preferred Qualifications
Preference will be given to candidates with demonstrated experience in one or more of the following areas:
  • Supporting investigations involving pandemic relief, emergency assistance, grants, loans, unemployment insurance, healthcare fraud, disaster relief, financial assistance programs, or other large-scale federal benefit programs.
  • Working with Offices of Inspector General (OIGs), federal law enforcement agencies, financial crime task forces, intelligence organizations, prosecutors, or other government oversight entities.
  • Identifying fraud typologies including synthetic identity fraud, organized fraud rings, account takeover, identity theft, eligibility fraud, shell companies, nominee entities, and cross-program fraud schemes.
  • Applying advanced analytical techniques such as entity resolution, link analysis, graph analytics, network analysis, anomaly detection, geospatial analysis, or open-source intelligence (OSINT) to support investigations.
  • Utilizing investigative tools such as Neo4j, i2 Analyst's Notebook, SQL, Power BI, Microsoft Excel, visualization platforms, or comparable investigative analysis technologies.
  • Producing investigative work products including intelligence reports, lead packages, link analysis diagrams, timeline analysis, executive briefings, and referral documentation supporting criminal, civil, or administrative investigations.
  • Conducting due diligence research utilizing public records, commercial databases, financial records, corporate records, sanctions data, and other investigative information sources.
  • Collaborating within multidisciplinary investigative teams that include data scientists, forensic accountants, intelligence analysts, graph data scientists, and technical specialists.
  • Supporting high-volume investigative environments requiring rapid identification of emerging fraud schemes, investigative prioritization, and timely delivery of actionable intelligence.

What We're Looking For
We're looking for an investigative analyst who enjoys connecting disparate pieces of information to uncover complex fraud schemes. The ideal candidate has a strong investigative mindset, excellent analytical skills, and the ability to transform large volumes of structured and unstructured data into clear, actionable intelligence. They take pride in producing well-supported investigative products that help Government partners identify fraud, prioritize investigative leads, strengthen case development, and protect the integrity of federal programs.
What you can expect from us:
  • Real opportunity for career growth in an environment where your achievements will be celebrated
  • Constant collaboration with numerous teams to ensure client success
  • A team that respects and embraces your ideas and expertise
  • Coworkers that are motivated by pursuing excellence, rather than the prospect of personal gain
  • A workplace dedicated to supporting and bettering public safety and government agencies

Benefits:
  • Competitive salary based on qualifications and experience
  • Comprehensive, Company paid healthcare for you (We pay your premiums and deductibles)
  • 401(k) with company match
  • Travel & performance incentives
  • 3 weeks paid time off (plus Federal Holidays)
  • $5K annual training allowance
  • $500 book allowance
  • Tuition reimbursement program

Praescient Analytics is an Equal Employment Opportunity employer. Employment decisions are based on merit, qualifications, experience, performance, business needs, and applicable contract requirements. Praescient does not unlawfully discriminate or provide disparate treatment based on race, ethnicity, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other status protected by applicable law.
Praescient Analytics acknowledges the applicable clause and provision updates implementing Executive Order 14398, Addressing DEI Discrimination by Federal Contractors, and the related FAR/RFO updates, including FAR 52.222-90 where applicable. Praescient does not engage in racially discriminatory DEI activities, including disparate treatment based on race or ethnicity in recruitment, hiring, promotion, contracting, program participation, training, mentoring, leadership development, or allocation of company resources. Praescient's employment and contracting decisions are made based on merit, qualifications, experience, performance, business needs, and applicable contract requirements.
Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.
US Citizenship Required
Interested Candidates: Please forward your resume to recruiting@praescientanalytics.com and please visit our website to apply online at www.praescientanalytics.applicantstack.com/x/openings.