Senior -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, elevate issues, and support audit and investigational 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.

• 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 PowerBI, 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.
• Must be US Citizens and be able to obtain Public Trust Clearance.