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Remote Fraud Analyst Jobs in Washington, DC (NOW HIRING)

Booz Allen Hamilton, Inc.

Geospatial Analyst

Washington, DC · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0246841 Location: Washington,DC,US Share job via: Share Geospatial ... We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI ...

Booz Allen Hamilton, Inc.

Cost Analyst

Washington, DC · On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0245429 Location: Washington,DC,US Share job via: Share Cost ... We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI ...

Booz Allen Hamilton, Inc.

Cost Analyst, Lead

Washington, DC · On-site +1

$86K - $198K/yr

Remote Work: Hybrid Job Number: R0246751 Location: Washington,DC,US Share job via: Share Cost ... We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI ...

Booz Allen Hamilton, Inc.

Cost Analyst, Mid

Washington, DC · On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0245079 Location: Washington,DC,US Share job via: Share Cost ... We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI ...

Booz Allen Hamilton, Inc.

Triage Analyst

Linthicum, MD · On-site +1

$61K - $141K/yr

Remote Work: No Job Number: R0246055 Location: Linthicum Heights,MD,US Share job via: Share Triage ... We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI ...

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Showing results 21-40

All JobsFraud Analyst JobsRemote Fraud Analyst JobsRemote Fraud Analyst Jobs in Washington, DC

Remote Fraud Analyst information

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How much do remote fraud analyst jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for remote fraud analyst 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 analyst?

A Remote Fraud Analyst is responsible for detecting and preventing fraudulent activities by analyzing transactions, user behavior, and financial data from a remote location. They use fraud detection tools, risk assessment techniques, and company policies to identify suspicious activity and take necessary actions. Their role often involves reviewing flagged transactions, investigating fraud cases, and working with other teams to implement fraud prevention strategies. Strong analytical skills, attention to detail, and knowledge of fraud detection systems are essential for this position.

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

To thrive as a Remote Fraud Analyst, you need strong analytical abilities, attention to detail, and a background in finance, business, or a related field. Familiarity with fraud detection software, data analysis tools like Excel or SQL, and relevant certifications such as CFE (Certified Fraud Examiner) are common requirements. Excellent communication skills, critical thinking, and the ability to work independently are valuable soft skills for this position. These skills are crucial for quickly identifying suspicious activities and effectively collaborating with cross-functional teams to mitigate risks.

What are some typical challenges faced by remote fraud analysts, and how can they overcome them?

Remote Fraud Analysts often face challenges such as staying up to date with evolving fraud techniques, managing large volumes of transaction data, and effectively communicating findings with distributed teams. To overcome these challenges, it’s important to continuously participate in relevant training, leverage advanced analytical tools, and establish clear protocols for virtual collaboration. Many companies provide strong support structures, ongoing professional development, and access to collaborative platforms to help analysts excel in their roles. Being proactive in learning and maintaining open, timely communication ensures success and impactful contributions to a remote fraud prevention team.

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

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

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

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

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

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

Remote Fraud Analyst jobs near you
Infographic showing various Remote Fraud Analyst job openings in Washington, DC as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, and 5% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $72,285 per year, or $34.8 per hour.

Senior Data Scientist (Fraud Detection and Investigative Analytics)

Node.Digital

Washington, DC • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago

Job description

Senior Data Scientist (Fraud Detection and Investigative Analytics)

Location: Herndon, VA (Remote Work)

Must have an Public Trust Clearance

KEY RESPONSIBILITIES

  • Review, maintain, and extend all existing loan fraud indicators developed by TSD, and provide authoritative expertise on analytic method selection.
  • Design, develop, test, calibrate, and implement advanced statistical and machine learning models targeting financial fraud, improper payments, and non compliance within SBA programs.
  • Build and refine both supervised and unsupervised models, including regression, Bayesian, clustering, and ensemble approaches, and tune candidate models to determine best fit.
  • Perform data quality analysis on source tables to identify abnormalities and inconsistencies, and develop repeatable processes for combining and analyzing large relational, structured, and unstructured sources.
  • Collaborate directly with criminal investigators to determine and execute analytic strategies supporting loan fraud cases, adapting analysis as case needs shift and proactively surfacing data quality issues.
  • 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 that convey methodological choices, outcomes, and predictive capability, and iterate them 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 efficiently.
  • Create programming and automation techniques that improve task efficiency 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+ yearsDesigning, implementing, and maintaining advanced AI systems and predictive models, including both supervised and unsupervised models.
  • 5+ yearsDeveloping analytic rules and models using leading edge analytic tools and best practices.
  • 5+ yearsDeveloping regression, classification, and other statistical models to identify anomalies, patterns, and predictive variables.
  • 3+ yearsProviding data support for criminal investigations into financial fraud or abuse of government funds.
  • 3+ yearsManipulating data in Python. Pandas is required.
  • 3+ yearsWorking in a modern cloud environment: Azure, AWS, or GCP. Certifications preferred.
  • 2+ yearsConducting advanced data analysis in SQL, specifically SQL Server and PostgreSQL.
  • 2+ yearsDeveloping and scaling natural language processing solutions.
  • 2+ yearsPresenting methods and findings to technical and non technical stakeholders, both orally and in written products and visualizations.

PREFERRED QUALIFICATIONS

  • Cloud certification in Azure, AWS, or GCP.
  • Direct experience with SBA loan programs, including 7(a), 504, EIDL, or PPP, or with comparable federal lending or grant fraud.
  • Entity resolution, record linkage, or graph and network analysis applied to fraud.
  • Experience producing analytic products that were used in a criminal referral or prosecution.
  • Model explainability practice such as SHAP or comparable feature attribution methods.

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