Senior Open Source Intelligence Analyst

Responsibilities

• 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.
• Produce high-quality intelligence products including threat assessments, trend analyses, profiles, timelines, and geo-based heat maps.
• Partner with internal stakeholders to share intelligence, escalate 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.

Requirements

• Bachelor’s degree and at least 10 years of professional experience (preferred) as an open-source intelligence analyst and other related fields.
• Professional certification (preferred), such as CFE, CIA, CISA, or similar.
• 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.
• Track record partnering with internal stakeholders (audit, investigations, and data personnel) to share intelligence, escalate 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.
• Ability to travel up to 25 percent (within the DC metro area and out of the DC metro area).

Desired Skills

• Robust knowledge of fraud schemes and typologies, regulatory frameworks, and fraud-detection methodologies.
• Strong analytical skills and experience using key tools, such as Microsoft PowerBI, 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.

Salary Range

$150,000 - $160,000

Benefits

General Description of Benefits

Equal Opportunity Employer