Sr. Open-Source Intelligence Analyst (Hybrid)

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    "datePosted": "2024-06-06T08:28:19.733Z",
    "description": "<h2>Overview</h2>\n<ul>\n <li>Tier One Technologies is looking for a Senior Open-Source Intelligence Analyst to support our US Government client. </li>\n <li>This hybrid Contract-to-Hire position will be located in Arlington, VA.</li>\n <li>Must be a US Citizen.</li>\n <li>Travel up to 25% (within the DC metro area and out of the DC metro area).</li>\n <li>SELECTED CANDIDATES WITHOUT REQUIRED CLEARANCE WILL BE SUBJECT TO A FEDERAL GOVERNMENT BACKGROUND INVESTIGATION TO RECEIVE IT.</li>\n</ul>\n<h2>Responsibilities</h2>\n<p>Intelligence & Analytics:</p>\n<ul>\n <li>Identify, track, and monitor emerging fraud typologies across financial and operational channels using fraud and intelligence gathering expertise.</li>\n <li>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.</li>\n <li>Build and maintain fraud indicators, risk scores, and watchlists using internal data and external intelligence sources.</li>\n <li>Develop analytical queries, dashboards, and automated alerts to uncover anomalous patterns such as counterfeit documentation, suspicious claims activity, identity misuse, or operational irregularities.</li>\n <li>Leverage open-source data and information to conduct link analysis to uncover fraud networks and schemes.</li>\n</ul>\n<p>Cross-Functional Collaborations:</p>\n<ul>\n <li>Produce high-quality intelligence products including threat assessments, trend analyses, profiles, timelines, and geo-based heat maps.</li>\n <li>Partner with internal stakeholders to share intelligence, escalate issues, and support audit and investigative efforts.</li>\n <li>Identify issues and trends based on severity, potential impact, and risk, ensuring proper documentation and evidentiary standards.</li>\n</ul>\n<p>Risk & Controls:</p>\n<ul>\n <li>Recommend and evaluate preventive, detective, and mitigative controls.</li>\n <li>Monitor changes in policy, regulations, technology, and criminal trends to anticipate shifts in fraud risk.</li>\n</ul>\n<p>Reporting & Communication:</p>\n<ul>\n <li>Deliver timely, actionable reporting to leadership on trends, exposures, root causes, and mitigation opportunities.</li>\n <li>Translate analytical findings into clear recommendations for non-technical stakeholders.</li>\n <li>Prepare materials for audit, compliance, or law enforcement requests as needed.</li>\n</ul>\n<h2>Qualifications</h2>\n<p>Primary Requirements:</p>\n<ul>\n <li>Bachelor’s degree in Computer Science, Information Systems, or related field.</li>\n <li>10+ years of experience as an open-source intelligence analyst and other related fields.</li>\n <li>Proven ability to conduct open-source intelligence (OSINT) analysis to identify, track, and monitor emerging fraud typologies across financial and operational channels.</li>\n <li>Experience building and maintaining fraud indicators, risk scores, and watchlists using internal data and external intelligence sources.</li>\n <li>Proficiency developing analytical queries, dashboards, and automated alerts to uncover anomalous patterns (e.g., counterfeit documentation, suspicious claims activity, identity misuse, operational irregularities).</li>\n <li>Ability to leverage open-source data to conduct link analysis and identify fraud networks and scheme interdependencies.</li>\n <li>Ability to produce high-quality intelligence products (threat assessments, trend analyses, profiles, timelines, geo-based heat maps) with clear analytical rigor and defensible findings.</li>\n <li>Track record partnering with internal stakeholders (audit, investigations, and data personnel) to share intelligence, escalate issues, and support audit/investigative efforts.</li>\n <li>Demonstrated capability to deliver timely, actionable reporting to leadership, translating analytical findings into clear recommendations for non-technical stakeholders.</li>\n <li>Strong knowledge of fraud schemes and typologies, regulatory frameworks, and fraud-detection methodologies.</li>\n <li>Strong analytical skills and experience using key tools, such as Microsoft PowerBI, and other link and visualization tools is a PLUS.</li>\n <li>Working knowledge of SQL and Python/R for data preparation, feature engineering, and anomaly detection is a PLUS.</li>\n <li>Ability to translate operational observations into data insights is a PLUS.</li>\n <li>Excellent oral and written communication skills.</li>\n <li>Ability to travel up to 25% (within the DC metro area and out of the DC metro area).</li>\n <li>Must be US Citizens and be able to obtain Public Trust Clearance.</li>\n <li>Candidate must have lived in the United States for the past 5 years.</li>\n <li>Cannot have more than 6 months travel outside the United States within the last 5 years. Military Service excluded.</li>\n</ul>",
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      "name": "A.C. Coy",
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