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Fraud Detection Jobs in Virginia (NOW HIRING)

Advisor Group

Fraud Analyst

Petersburg, VA · Hybrid

$65K - $75K/yr

Knowledge of fraud detection tools, case management systems, and monitoring platforms. * Strong organizational skills with the ability to manage multiple investigations simultaneously. * Ability to ...

FVCbankCorp, Inc.

Fraud Analyst (Manassas)

Manassas, VA · On-site

$70 - $79/hr

Review periodic reports to detect suspicious activity. * Risk Management: Assess, track, and ... Certified Fraud Examiner (CFE) and/or Certified Anti‑Money Laundering Specialist (CAMS ...

Koalafi

Fraud Investigator

Richmond, VA · On-site

$61K - $74K/yr

Collaborate across multiple departments, such as Sales, Operations, Fraud Analytics, and Compliance About You (Qualifications) * 2+ years of relevant experience in fraud detection, investigation, or ...

Koalafi

Fraud Investigator

Richmond, VA · On-site

$61K - $74K/yr

Collaborate across multiple departments, such as Sales, Operations, Fraud Analytics, and Compliance About You (Qualifications) * 2+ years of relevant experience in fraud detection, investigation, or ...

Koalafi

Fraud Investigator

Arlington, VA · On-site

$61K - $74K/yr

Collaborate across multiple departments, such as Sales, Operations, Fraud Analytics, and Compliance About You (Qualifications) * 2+ years of relevant experience in fraud detection, investigation, or ...

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Fraud Detection information

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$10

$17

$26

How much do fraud detection jobs pay per hour?

As of Sep 5, 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 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 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.

How can I become a fraud detection specialist?

To become a fraud detection specialist, candidates typically need a bachelor's degree in finance, accounting, or a related field, along with strong analytical skills and attention to detail. Relevant experience in finance, banking, or cybersecurity, as well as familiarity with fraud detection tools and data analysis software, is often required. Certifications such as Certified Fraud Examiner (CFE) can enhance job prospects in this field.

How hard is it to become a fraud detection?

Becoming a fraud detection professional typically requires a strong understanding of financial transactions, data analysis skills, and knowledge of fraud schemes. Many roles prefer candidates with a background in finance, cybersecurity, or related fields, along with certifications such as Certified Fraud Examiner (CFE). The difficulty depends on the level of position and prior experience, but developing relevant skills and gaining industry knowledge can facilitate entry into the field.

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

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

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

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:

Fraud Detection jobs near you
Infographic showing various Fraud Detection job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $37,226 per year, or $17.9 per hour.

Data Scientist (Fraud Analytics & Investigative Support)

Praescient Analytics

Fairfax, VA • On-site, Remote

Full-time

Retirement, PTO

Re-posted 11 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 multiple Data Scientists to support advanced fraud analytics and investigative initiatives for a federal oversight organization. These positions will develop, test, validate, and deploy innovative analytical solutions that help identify fraud, waste, abuse, and mismanagement across large-scale federal benefit programs and other government-funded initiatives.
Working as part of a multidisciplinary analytics team, Data Scientists will leverage statistical analysis, machine learning, data visualization, entity resolution, and risk modeling techniques to transform large, diverse datasets into actionable intelligence supporting investigators, auditors, and government decision-makers.
The ideal candidate is a technically strong, mission-focused data scientist who enjoys solving complex analytical problems while collaborating with investigators, business analysts, data engineers, forensic accountants, and government stakeholders.
Key Responsibilities
  • Develop, test, validate, and maintain fraud detection and program integrity analytics.
  • Design analytical rules and methodologies to identify fraud indicators, anomalies, suspicious activity, and emerging risks.
  • Perform exploratory data analysis, feature engineering, model development, validation, and performance evaluation.
  • Analyze structured and unstructured data from multiple public, non-public, commercial, financial, and government data sources.
  • Collaborate with Data Engineers to prepare and optimize data for analytics.
  • Support entity resolution, anomaly detection, predictive analytics, and risk scoring initiatives.
  • Produce dashboards, reports, visualizations, and analytical products that support investigative decision-making.
  • Document analytical methodologies, assumptions, validation results, and technical findings.
  • Participate in Agile delivery activities including sprint planning, demonstrations, peer reviews, and iterative model development.

Required Qualifications
  • Must have experience with Fraud Analysis
  • Three (3) or more years of professional experience in data science, applied analytics, machine learning, statistics, fraud analytics, or a related quantitative field.
  • Strong programming experience using Python and SQL.
  • Experience developing and validating analytical models.
  • Experience analyzing structured and unstructured datasets.
  • Experience documenting analytical methodologies and technical findings.
  • Strong analytical reasoning and problem-solving skills.
  • Excellent written and verbal communication skills.

Preferred Qualifications
Preference will be given to candidates with experience in one or more of the following:
  • Fraud detection, fraud prevention, financial crime analytics, or program integrity.
  • Federal benefit programs, grants, loans, healthcare, unemployment insurance, emergency assistance, disaster relief, or other public-sector programs.
  • Risk modeling, anomaly detection, entity resolution, predictive analytics, and statistical modeling.
  • Cloud analytics environments such as Azure Databricks, Microsoft SQL Server, Microsoft Fabric, Azure Data Lake Storage (ADLS), Power BI, Git repositories, or Lakehouse architectures.
  • Working with public, non-public, commercial, financial, or cross-agency datasets.
  • Data visualization and dashboard development.
  • Agile software development and analytics teams.
  • Enterprise data governance, metadata management, and data quality best practices.

What We're Looking For
We're looking for curious, collaborative data scientists who enjoy using data to solve challenging fraud detection problems. The ideal candidate combines strong analytical skills with a passion for supporting government oversight and investigative missions through innovative, data-driven solutions.
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.

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