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Sr. -Source Intelligence Analyst; Hybrid

Job in Arlington, Arlington County, Virginia, 22201, USA
Listing for: A.C. Coy
Full Time position
Listed on 2026-06-02
Job specializations:
  • IT/Tech
    Cybersecurity, Data Analyst
Salary/Wage Range or Industry Benchmark: 90000 - 120000 USD Yearly USD 90000.00 120000.00 YEAR
Job Description & How to Apply Below
Position: Sr. Open-Source Intelligence Analyst (Hybrid)

Overview

  • Tier One Technologies is looking for a Senior Open-Source Intelligence Analyst to support our US Government client.
  • This hybrid Contract-to-Hire position will be located in Arlington, VA.
  • Must be a US Citizen.
  • Travel up to 25% (within the DC metro area and out of the DC metro area).
  • SELECTED CANDIDATES WITHOUT REQUIRED CLEARANCE WILL BE SUBJECT TO A FEDERAL GOVERNMENT BACKGROUND INVESTIGATION TO RECEIVE IT.
Responsibilities

Intelligence & Analytics:

  • Identify, track, and monitor emerging fraud typologies across financial and operational channels using fraud and intelligence gathering expertise.
  • Conduct analysis of open sources to identify fraudulent communication channels and techniques, including, but not limited to forums, social media, dark/deep web, news media, public records, and geospatial data.
  • Build and maintain fraud indicators, risk scores, and watchlists using internal data and external intelligence sources.
  • Develop analytical queries, dashboards, and automated alerts to uncover anomalous patterns such as counterfeit documentation, suspicious claims activity, identity misuse, or operational irregularities.
  • Leverage open-source data and information to conduct link analysis to uncover fraud networks and schemes.

Cross-Functional Collaborations:

  • Produce high-quality intelligence products including threat assessments, trend analyses, profiles, timelines, and geo-based heat maps.
  • Partner with internal stakeholders to share intelligence, elevate issues, and support audit and investigative efforts.
  • Identify issues and trends based on severity, potential impact, and risk, ensuring proper documentation and evidentiary standards.

Risk & Controls:

  • Recommend and evaluate preventive, detective, and mitigative controls.
  • Monitor changes in policy, regulations, technology, and criminal trends to anticipate shifts in fraud risk.

Reporting & Communication:

  • Deliver timely, actionable reporting to leadership on trends, exposures, root causes, and mitigation opportunities.
  • Translate analytical findings into clear recommendations for non-technical stakeholders.
  • Prepare materials for audit, compliance, or law enforcement requests as needed.
Qualifications

Primary Requirements:

  • Bachelor’s degree in Computer Science, Information Systems, or related field.
  • 10+ years of experience as an open-source intelligence analyst and other related fields.
  • Proven ability to conduct open-source intelligence (OSINT) analysis to identify, track, and monitor emerging fraud typologies across financial and operational channels.
  • Experience building and maintaining fraud indicators, risk scores, and watchlists using internal data and external intelligence sources.
  • Proficiency developing analytical queries, dashboards, and automated alerts to uncover anomalous patterns (e.g., counterfeit documentation, suspicious claims activity, identity misuse, operational irregularities).
  • Ability to leverage open-source data to conduct link analysis and identify fraud networks and scheme interdependencies.
  • Ability to produce high-quality intelligence products (threat assessments, trend analyses, profiles, timelines, geo-based heat maps) with clear analytical rigor and defensible findings.
  • Track record partnering with internal stakeholders (audit, investigations, and data personnel) to share intelligence, elevate issues, and support audit/investigative efforts.
  • Demonstrated capability to deliver timely, actionable reporting to leadership, translating analytical findings into clear recommendations for non-technical stakeholders.
  • Strong knowledge of fraud schemes and typologies, regulatory frameworks, and fraud-detection methodologies.
  • Strong analytical skills and experience using key tools, such as Microsoft Power

    BI, and other link and visualization tools is a PLUS.
  • Working knowledge of SQL and Python/R for data preparation, feature engineering, and anomaly detection is a PLUS.
  • Ability to translate operational observations into data insights is a PLUS.
  • Excellent oral and written communication skills.
  • Ability to travel up to 25% (within the DC metro area and out of the DC metro area).
  • Must be US Citizens and be able to obtain Public Trust Clearance.
  • Candidate must have lived in the United States for the past 5 years.
  • Cannot have more than 6 months travel outside the United States within the last 5 years. Military Service excluded.
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