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Remote Fraud Jobs in Washington (NOW HIRING)

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0241357 Location: Alexandria,VA,US Share job via: Share Data ... Across private and public sectors-from fraud detection to cancer research to national intelligence ...

Booz Allen Hamilton, Inc.

Data Scientist

Washington, DC · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0241352 Location: Washington,DC,US Share job via: Share Data Scientist ... Across private and public sectors-from fraud detection to cancer research to national intelligence ...

Booz Allen Hamilton, Inc.

Data Engineer

Washington, DC · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0246782 Location: Washington,DC,US Share job via: Share Data Engineer ... fraud detection to cancer research to national intelligence. As a Data Engineer at Booz Allen, you ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0242719 Location: Alexandria,VA,US Share job via: Share Data ... Across private and public sectors, from fraud detection to cancer research to national intelligence ...

Booz Allen Hamilton, Inc.

Data Scientist

Washington, DC · On-site +1

$48K - $98K/yr

Remote Work: No Job Number: R0246054 Location: Washington,DC,US Share job via: Share Data Scientist ... Across private and public sectors, from fraud detection to cancer research, to national ...

Manulife

Senior Underwriting Consultant

Washington, DC · On-site +1

$111K - $131K/yr

This is a remote role open to any location in continental US Manulife is a leading international ... Review underwriting fraud referrals for appropriateness and assist management with book of business ...

BluePath Labs

AI Developer - Remote

Washington, DC · On-site +1

$110K - $160K/yr

Remote (occasional travel may be required) Clearance: Public Trust or able to obtain Salary: $110 ... Preferred Qualifications: * -Experience with combating fraud * -Experience with ServiceNow Benefits:

BluePath Labs

AI Developer - Remote

Washington, DC · Remote

$110K - $160K/yr

Remote (occasional travel may be required) Clearance:Public Trust or able to obtain Salary: $110 ... Preferred Qualifications: * -Experience with combating fraud * -Experience with ServiceNow Benefits:

BluePath Labs

AI Developer - Remote

Washington, DC · Remote

$110K - $160K/yr

Remote (occasional travel may be required)Clearance:  Public Trust or able to obtain  Salary ... Preferred Qualifications: -Experience with combating fraud-Experience with ServiceNowBenefits ...

Global Alliant Inc

AI Engineer

Rockville, MD · Remote

$140K/yr

Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible to obtain and maintain ... Databricks, Snowflake, Spark/PySpark * Healthcare analytics, fraud/waste/abuse detection, risk ...

Global Alliant Inc

AI Engineer

Rockville, MD · On-site +1

Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible to obtain and maintain ... Databricks, Snowflake, Spark/PySpark * Healthcare analytics, fraud/waste/abuse detection, risk ...

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All JobsFraud JobsRemote Fraud JobsRemote Fraud Jobs in Washington

Remote Fraud information

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?

The most popular types of Fraud jobs in Washington are:

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

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

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

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

What cities in Washington are hiring for Remote Fraud jobs?

Cities in Washington with the most Remote Fraud job openings:

Remote Fraud jobs near you
Infographic showing various Remote Fraud job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 14% Part Time, 2% Temporary, and 5% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution.

Senior Data Scientist (NLP and Unstructured Data Analytics)

Node.Digital

Washington, DC • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago

Job description

Senior Data Scientist (NLP and Unstructured Data Analytics)
Location: Herndon, VA (Remote Work)
Must have a Public Trust Clearance
KEY RESPONSIBILITIES
  • Integrate and scale natural language processing methods to parse, clean, and analyze large corpora of unstructured and semi structured text, using optical character recognition, semantic similarity algorithms, and large language models as needed.
  • Design, develop, test, calibrate, and implement statistical and machine learning models targeting financial fraud, improper payments, and non compliance within SBA programs.
  • Build and refine supervised and unsupervised models, including regression, Bayesian, clustering, and ensemble approaches.
  • Review, maintain, and support all existing loan fraud indicators developed by TSD.
  • Perform data quality analysis on source tables and develop repeatable processes for combining and analyzing large data sources.
  • Collaborate directly with criminal investigators to determine and execute analytic strategies supporting loan fraud cases, and adhere closely to the federal rules of criminal procedure governing protected information, including Rule 6(e).
  • Develop case leads for SBA OIG investigations from model outcomes.
  • Document all methodology, test models, and production models in a form that satisfies criminal evidentiary requirements.
  • Build visualizations and dashboards conveying methodological choices, outcomes, and predictive capability, iterated on end user feedback.
  • Deliver findings in multiple registers: data summaries and visualizations for investigative staff, executive summaries for OIG leadership.
  • Coordinate with the data engineering seat so the architecture supports machine learning and text processing pipelines efficiently.
  • Create programming and automation techniques using SharePoint, Python, Excel, Power BI, Power Apps, and similar tools.
  • Identify new business questions that expand the scope of analysis and reporting.

Requirements
Required
Education
Master's, Ph.D., or doctorate level equivalent degree in data science, machine learning, computer science, mathematics, or a related field. Alternatively, ten years of applied work experience in any of the same fields.
  • 5+ years Designing, implementing, and maintaining advanced AI systems and predictive models, including both supervised and unsupervised models.
  • 5+ years Developing analytic rules and models using leading edge analytic tools and best practices.
  • 5+ years Developing regression, classification, and other statistical models to identify anomalies, patterns, and predictive variables.
  • 3+ years Providing data support for criminal investigations into financial fraud or abuse of government funds.
  • 3+ years Manipulating data in Python. Pandas is required.
  • 3+ years Working in a modern cloud environment: Azure, AWS, or GCP. Certifications preferred.
  • 2+ years Conducting advanced data analysis in SQL, specifically SQL Server and PostgreSQL.
  • 2+ years Developing and scaling natural language processing solutions.
  • 2+ years Presenting methods and findings to technical and non technical stakeholders, both orally and in written products and visualizations.

PREFERRED QUALIFICATIONS
  • Production experience with named entity recognition and entity resolution across messy document corpora.
  • Retrieval augmented generation, vector stores, embeddings, and semantic search at scale.
  • Large language model integration under federal security constraints, including boundary controlled deployment and prompt versioning.
  • Optical character recognition pipelines applied to scanned or low quality source documents.
  • Topic modeling, document classification, or clustering applied to audit, legal, or investigative text.
  • Cloud certification in Azure, AWS, or GCP.

Benefits
We are proud to offer competitive compensation and benefits packages to include
  • Medical
  • Dental
  • Vision
  • Basic Life
  • Health Saving Account
  • 401K matching
  • Three weeks of PTO/Sick
  • 11 Paid Holidays
  • Pre-Approved Online Training

Apply