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Remote Fraud Jobs in Washington, DC (NOW HIRING)

Amerihealth Caritas

Special Investigator

Washington, DC · On-site +1

... fraud involving the full range of products at the AmeriHealth Caritas Family of Companies (ACFC ... Those fully remote associates residing in states where service is required by contract, law, or ...

New

Amerihealth Caritas

Special Investigator

Washington, DC · On-site +1

... fraud involving the full range of products at the AmeriHealth Caritas Family of Companies (ACFC ... Those fully remote associates residing in states where service is required by contract, law, or ...

New

YO AI Labs

Healthcare Attorney - Remote

Washington, DC · Remote

$140 - $400/hr

Remote (United States Only) Job Overview We are seeking experienced Healthcare Attorneys to ... Draft and evaluate legal content related to healthcare compliance, fraud and abuse, patient privacy ...

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All JobsFraud JobsRemote Fraud JobsRemote Fraud Jobs in Washington, DC

Remote Fraud information

See Washington, DC salary details

$17

$34

$72

How much do remote fraud jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for remote fraud in Washington, DC 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.

What is a remote fraud job?

Remote fraud jobs involve working from a location outside of a traditional office to detect, investigate, and prevent fraudulent activities in various industries such as banking, e-commerce, and insurance. Professionals in these roles use digital tools and data analysis to identify suspicious transactions, review customer activity, and protect organizations from financial losses. They may also collaborate with law enforcement and other departments to respond to incidents of fraud. Remote fraud specialists must have strong analytical skills, attention to detail, and knowledge of cybersecurity or financial regulations.

What are some common challenges faced by professionals working in remote fraud detection roles?

Professionals in remote fraud detection roles often face challenges such as staying updated on rapidly evolving fraud tactics and maintaining effective communication with team members across different locations. Working remotely can require extra diligence in accessing secure systems and handling sensitive data safely. Additionally, collaborating with cross-functional teams such as IT, legal, and customer support is crucial to investigate and resolve complex fraud cases efficiently. Staying proactive and adaptable is key to success in a fast-paced, ever-changing fraud landscape.

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

To thrive as a Remote Fraud Analyst, you need strong analytical skills, attention to detail, and a background in finance, business, or a related field. Familiarity with fraud detection software, data analysis tools, and relevant certifications such as Certified Fraud Examiner (CFE) are commonly required. Excellent problem-solving, communication, and decision-making abilities set top performers apart in this position. These skills are crucial for accurately identifying fraudulent activity, minimizing financial risk, and ensuring organizational security in a remote work environment.

What is the difference between Remote Fraud vs Remote Fraud Analyst?

AspectRemote FraudRemote Fraud Analyst
CredentialsTypically requires knowledge of fraud prevention, certifications like CFE or CFCS beneficialRequires similar certifications, often with experience in fraud detection and analysis
Work EnvironmentRemote, often part of a fraud prevention or security team within a companyRemote, usually within a security or risk management department
Industry UsageUsed broadly across finance, e-commerce, banking, and insurance sectorsCommonly found in finance, banking, and online retail industries

Remote Fraud refers to the broader role of preventing and managing fraud remotely across various industries. Remote Fraud Analyst is a specific position focused on analyzing fraud cases, detecting patterns, and implementing prevention strategies. While both roles require similar skills and certifications, the Fraud Analyst typically performs detailed investigations and analysis, whereas Remote Fraud may encompass broader responsibilities in fraud prevention strategies.

More about Remote Fraud jobs

What are the most commonly searched types of Fraud jobs in Washington, DC?

The most popular types of Fraud jobs in Washington, DC are:

What are popular job titles related to Remote Fraud jobs in Washington, DC?

For Remote Fraud jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Remote Fraud jobs in Washington, DC look for?

The top searched job categories for Remote Fraud jobs in Washington, DC are:

Remote Fraud jobs near you
Infographic showing various Remote Fraud job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $72,285 per year, or $34.8 per hour.

Technical Analytics Manager / Lead 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 a highly skilled Technical Analytics Manager / Lead Data Scientist to provide technical leadership for a federal fraud analytics and investigative support program. This individual will serve as the technical authority responsible for designing innovative analytic approaches, developing advanced fraud detection models, leading model validation and quality assurance activities, and ensuring the successful delivery of reliable, defensible, and repeatable analytic solutions supporting federal oversight organizations.
The ideal candidate is a hands-on technical leader who combines deep data science expertise with strong leadership skills. They will guide multidisciplinary technical teams through the full analytics lifecycle, from ideation and data exploration to model development, testing, deployment, and continuous improvement, while mentoring technical staff and collaborating closely with Government stakeholders, investigators, and program leadership.
Key Responsibilities
  • Lead the design, development, testing, validation, deployment, and continuous improvement of advanced fraud detection and investigative analytics solutions.
  • Develop innovative analytic approaches to identify fraud, waste, abuse, and mismanagement across large-scale federal benefit programs.
  • Design and implement analytic rules, machine learning models, artificial intelligence (AI) solutions, natural language processing (NLP), anomaly detection, entity resolution, graph analytics, link analysis, risk scoring, and other advanced analytic capabilities.
  • Lead technical teams responsible for model development, experimentation, quality assurance, documentation, and production deployment.
  • Perform hands-on development of analytic models using open-source programming languages, frameworks, and data science tools.
  • Conduct exploratory data analysis, feature engineering, data profiling, model evaluation, and performance optimization across complex datasets.
  • Establish and oversee rigorous quality control processes to ensure analytic outputs are accurate, reliable, repeatable, and fully documented prior to Government delivery.
  • Review technical work products, source code, analytic methodologies, and model outputs produced by contractor support teams.
  • Identify technical risks, recommend mitigation strategies, and ensure timely delivery of high-quality analytic products.
  • Collaborate with Project Managers, Data Engineers, Graph Data Scientists, Investigative Analysts, Forensic Accountants, and Government stakeholders throughout the project lifecycle.
  • Present analytic methodologies, technical findings, model performance, and recommendations to Government leadership, investigators, and oversight organizations.
  • Support Agile delivery through sprint planning, backlog refinement, technical demonstrations, and iterative model development.

Required Qualifications
  • Must have experience with Fraud Analysis
  • Five (5) or more years of hands-on experience developing analytic rules and models for fraud detection use cases using leading-edge analytic tools and best practices.
  • Five (5) or more years of experience designing analytic approaches, managing model development and testing efforts, and conducting thorough quality control.
  • Demonstrated experience ideating innovative analytic use cases to detect and prevent fraud, waste, abuse, and mismanagement.
  • Five (5) or more years of experience tracking project progress, identifying technical risks, and delivering high-quality analytic solutions on schedule.
  • Five (5) or more years of experience reviewing contractor-developed analytic models, code, methodologies, and work products prior to final delivery.
  • Five (5) or more years of hands-on experience developing analytic rules and models using open-source programming languages and frameworks.
  • Strong written, verbal, presentation, and technical communication skills.
  • Demonstrated ability to lead technical teams while remaining actively engaged in hands-on analytics development.

Preferred Qualifications
Preference will be given to candidates with demonstrated experience in one or more of the following areas:
  • Developing fraud detection, fraud prevention, and program integrity analytics supporting pandemic relief, emergency assistance, grants, loans, healthcare, unemployment insurance, disaster relief, financial assistance, or other high-volume federal benefit programs.
  • Designing, developing, validating, deploying, and maintaining advanced analytic models utilizing machine learning, artificial intelligence (AI), natural language processing (NLP), anomaly detection, entity resolution, graph analytics, link analysis, knowledge graphs, risk scoring, or robotic process automation (RPA).
  • Applying open-source programming languages and frameworks such as Python, SQL, Spark, Pandas, Scikit-learn, TensorFlow, PyTorch, or comparable data science technologies.
  • Developing analytics within cloud-native environments utilizing Azure Databricks, Microsoft SQL Server, Microsoft Fabric, Azure Data Lake, Power BI, Neo4j, Git repositories, Lakehouse architectures, or enterprise data catalogs.
  • Working with large-scale public, non-public, commercial, financial, and law enforcement datasets to identify organized fraud rings, synthetic identities, duplicate entities, eligibility issues, and emerging fraud schemes.
  • Conducting exploratory data analysis, data profiling, feature engineering, model validation, performance testing, and quality assurance throughout the analytics lifecycle.
  • Supporting Offices of Inspector General (OIGs), law enforcement organizations, oversight agencies, or program integrity initiatives through advanced analytic solutions.
  • Developing reproducible analytic workflows that emphasize governance, documentation, transparency, explainability, and enterprise data management best practices.
  • Leading technical reviews, mentoring data scientists, and establishing quality standards for analytic products delivered to Government customers.

What We're Looking For
We're looking for a technical leader who enjoys solving complex fraud detection challenges while remaining actively involved in hands-on analytics development. The ideal candidate is equally comfortable writing code, designing machine learning models, reviewing technical work products, mentoring fellow data scientists, and briefing analytic findings to senior Government stakeholders. They combine innovative thinking with disciplined engineering practices to ensure every analytic solution is technically sound, operationally effective, and capable of supporting real-world investigative and oversight missions.
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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