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Remote Telecom Fraud Analyst Jobs in Washington (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 ...

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All JobsTelecom Fraud Analyst JobsRemote Telecom Fraud Analyst JobsRemote Telecom Fraud Analyst Jobs in Washington

Remote Telecom Fraud Analyst information

What is the difference between Remote Telecom Fraud Analyst vs Remote Telecom Security Specialist?

AspectRemote Telecom Fraud AnalystRemote Telecom Security Specialist
CredentialsCertifications like CFE, ACFE, or telecom-specific security certificationsCertifications such as CISSP, CISA, or telecom security credentials
Work EnvironmentAnalyzing telecom fraud cases, monitoring transactions remotelyImplementing security measures, monitoring network security remotely
Employer & Industry UsageTelecom companies, fraud prevention firmsTelecom providers, cybersecurity firms
Search & Comparison IntentUnderstanding roles in telecom fraud detectionComparing telecom security roles

The Remote Telecom Fraud Analyst focuses on detecting and preventing telecom fraud through data analysis and monitoring transactions. In contrast, the Remote Telecom Security Specialist concentrates on implementing security protocols and safeguarding telecom networks. Both roles require similar certifications and work environments, but their core responsibilities differ in focus—fraud detection versus security implementation.

Can a remote telecom fraud analyst work from home?

Yes, remote telecom fraud analysts typically work from home, as the role involves analyzing data and monitoring telecommunications networks using specialized software. Many companies offer remote positions for this role, requiring strong analytical skills and familiarity with fraud detection tools. The job often involves flexible schedules and remote collaboration tools.

How much does a remote telecom fraud analyst get paid?

A remote telecom fraud analyst typically earns between $50,000 and $80,000 annually, depending on experience, location, and employer size. Entry-level positions may start lower, while experienced analysts with certifications can earn higher salaries. The role often requires strong analytical skills and knowledge of telecom systems and fraud detection tools.

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

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

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

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

What cities in Washington are hiring for Remote Telecom Fraud Analyst jobs?

Cities in Washington with the most Remote Telecom Fraud Analyst job openings:

Remote Telecom Fraud Analyst jobs near you

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 9 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