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Remote Fraud Analyst Jobs in Silver Spring, MD (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, 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 ...

Booz Allen Hamilton, Inc.

Business Analyst

Chantilly, VA · On-site +1

$48K - $98K/yr

Remote Work: No Job Number: R0245517 Location: Chantilly,VA,US Share job via: Share Business ... 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 Silver Spring, MD

Remote Fraud Analyst information

See Silver Spring, MD salary details

$16

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$65

How much do remote fraud analyst jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for remote fraud analyst in Silver Spring, MD is $31.72, according to ZipRecruiter salary data. Most workers in this role earn between $21.88 and $35.05 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 Silver Spring, MD?

The most popular types of Fraud Analyst jobs in Silver Spring, MD are:

What are popular job titles related to Remote Fraud Analyst jobs in Silver Spring, MD?

For Remote Fraud Analyst jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Remote Fraud Analyst jobs in Silver Spring, MD look for?

The top searched job categories for Remote Fraud Analyst jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Remote Fraud Analyst jobs?

Cities near Silver Spring, MD with the most Remote Fraud Analyst job openings:

Remote Fraud Analyst jobs near you
Infographic showing various Remote Fraud Analyst job openings in Silver Spring, MD as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution, with an average salary of $65,978 per year, or $31.7 per hour.

Data Engineer

Magnus Management Group LLC

Washington, DC • Remote

$117K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 days ago

Job description

Benefits:
  • 401(k)
  • Dental insurance
  • Health insurance
  • Paid time off
  • Vision insurance

Seeking a Data Engineer responsible for designing, developing, and maintaining scalable enterprise data pipelines supporting advanced fraud analytics. The candidate will manage ingestion, transformation, quality control, and optimization of structured and unstructured data across cloud-based analytics platforms.
Responsibilities
  • Should bring a minimum of three (3) years of professional experience in data engineering or a related field. 
  • Demonstrate the ability to design, build, and maintain scalable ETL pipelines across diverse data sources. 
  • Should apply strong SQL and Python skills, or equivalent technologies, to ingest and transform data from flat files, JSON, XML, Excel, APIs, graph databases, with flexibility to adapt to additional formats and sources as needed. 
  • Should possess experience loading, managing, and optimizing data within platforms such as Databricks Unity Catalog and SQL Server managed instances, including work with streaming and batch ingestion frameworks and modern Lakehouse architecture. 
  • Should exhibit strong capabilities in implementing standard quality control processes to ensure data quality, lineage, reliability, and performance while collaborating effectively with cross‑functional teams. 
  • Must have familiarity with data governance, data quality, and data management practices consistent with enterprise data management (EDM) standards. 
  • Must have experience supporting fraud detection, anomaly detection, or financial oversight analytics environment preferred. 
Minimum Qualifications
  • Minimum 3 years data engineering experience. 
  • Strong SQL skills. 
  • Strong Python programming. 
  • Experience building ETL pipelines. 
  • Experience with Databricks. 
  • Experience with Azure SQL or SQL Server. 
  • Experience implementing data quality processes. 
Preferred Qualifications
  • Experience with fraud detection analytics. 
  • Experience with streaming data pipelines. 
  • Experience supporting enterprise data governance. 

This is a remote position.