Senior Open-Source Intelligence Analyst

Job DetailsLocation: Rosslyn, VA 22209Salary: $130K-$140K annually W2 with benefitsWork Environment: Hybrid (1 day WFH)Term: Contract 12+ months with possible conversionPosition OverviewOur federal client is looking to hire a Senior Open-Source Intelligence Analyst at their offices in Rosslyn, VA 22209. This long-term contract pays an annual salary of $130K to $140K (dependent on experience) on a W2 basis with full benefits and PTO.Due to the required clearance with our government client, only US Citizens, Green Card, and Green Card EAD holders may be considered. Clearance requires that applicants have resided in the US for the past five years. The selected candidate cannot have left the country for longer than 90 consecutive days and no more than 180 cumulative days.ResponsibilitiesIdentify, 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 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 to conduct link analysis to uncover fraud networks and schemes.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.Recommend and evaluate preventive, detective, and mitigative controls.Monitor changes in policy, regulations, technology, and criminal trends to anticipate shifts in fraud risk.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.QualificationsProven ability to conduct 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 and external intelligence sources.Proficiency developing analytical queries, dashboards, and automated alerts to uncover anomalous patterns such as counterfeit documentation, suspicious claims activity, identity misuse, and operational irregularities.Strong link analysis skills to identify fraud networks and 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.Desired KSAsRobust 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.Working knowledge of SQL and Python/R for data preparation, feature engineering, and anomaly detection.Ability to translate operational observations into data insights.Clear written and verbal communication tailored to non-technical audiences.Excellent planning, organizational, and time management skills.Education & ExperienceBachelor's degree and at least 10 years of professional experience (preferred) as an open-source intelligence analyst and related fields.Professional certification (preferred) such as CFE, CIA, CISA, or similar.#J-18808-Ljbffr

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