IT Consultant III

PLANIT Group; Arlington (VA); On-site; USD 90,000 - 120,000; Full time

Job summary

PLANIT Group is seeking a Senior Open Source Intelligence Analyst in Arlington, VA, with the ability to identify and monitor emerging fraud typologies across various channels. Candidates should possess a Bachelor’s degree and at least 10 years of professional experience.

This role requires proficiency in OSINT analysis, fraud detection methodologies, and strong communication skills, with responsibilities including the production of intelligence reports and collaboration with internal stakeholders.

Qualifications

• 10 years of professional experience as an open-source intelligence analyst.
• Professional certification (CFE, CIA, CISA, or similar) preferred.

Responsibilities

• Identify and track emerging fraud typologies using analytical methods.
• Conduct open-source analysis to identify fraudulent communication channels.
• Build and maintain fraud indicators and risk scores.
• Prepare timely reports to leadership on trends and exposures.

Skills

OSINT analysis

Fraud detection methodologies

Analytical skills

Communication skills

Education

Bachelor’s degree

Tools

Microsoft PowerBI

SQL

Python/R

Job description

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.

Job Title

Senior Open Source Intelligence Analyst

Eligibility

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.

Position Description

Intelligence & Analytics

• 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.

Cross‑Functional Collaborations

• 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.

Risk & Controls

• Recommend and evaluate preventive, detective, and mitigative controls.
• Monitor changes in policy, regulations, technology, and criminal trends to anticipate shifts in fraud risk.

Reporting & Communication

• 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.

Position Requirements

Experience

• 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.

Primary Requirements

• 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.

Desired Knowledge, Skills, and Abilities (KSAs)

• 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.