IT Consultant III

Location & Telework

Arlington, VA (Contract). On-site flexibility with 50% remote ability. The senior analyst must reside in the DC Metro area and will report to headquarters in Arlington, VA. Telework is 1 day per week, with the remaining days in‑office; the schedule can change at the customer’s request.

Senior Open Source Intelligence Analyst

Candidates must be US citizens. The role requires ability to travel up to 25% of the time, both within and outside the DC metro area.

• Identify, track, and monitor emerging fraud typologies across financial and operational channels using fraud and intelligence gathering expertise.
• Conduct open‑source analysis 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 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, expedite 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.

• MUST have a Bachelor’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.

• Proven 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 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, expedite 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.

• Robust 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.