Senior Open Source Intelligence Analyst

Introduction:

The Senior Open Source Intelligence Analyst will be responsible for identifying, tracking, and monitoring emerging fraud typologies across financial and operational channels using fraud and intelligence gathering expertise. This role will involve conducting analysis of open sources to identify fraudulent communication channels and techniques, building and maintaining fraud indicators, risk scores, and watchlists, developing analytical queries and dashboards, and leveraging open-source data to uncover fraud networks and schemes. The Senior Open Source Intelligence Analyst will collaborate with internal stakeholders, recommend and evaluate preventive controls, monitor changes in policy and regulations, deliver reporting to leadership, and prepare materials for audit, compliance, or law enforcement requests.

Responsibilities:

• Identify, track, and monitor emerging fraud typologies across financial and operational channels.
• Conduct analysis of open sources to identify fraudulent communication channels and techniques.
• Build and maintain fraud indicators, risk scores, and watchlists.
• Develop analytical queries, dashboards, and automated alerts to uncover anomalous patterns.
• 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, escalate issues, and support audit and investigative efforts.
• Recommend and evaluate preventive, detective, and mitigative controls.
• Deliver timely, actionable reporting to leadership on trends, exposures, root causes, and mitigation opportunities.
• Translate analytical findings into clear recommendations for non-technical stakeholders.

Requirements:

Experience:

• Bachelor’s degree and at least 10 years of professional experience as an open-source intelligence analyst.
• Professional certification such as CFE, CIA, CISA, or similar is preferred.

Primary Requirements:

• Proven ability to conduct open-source intelligence (OSINT) analysis to identify, track, and monitor fraud typologies.
• Experience building and maintaining fraud indicators, risk scores, and watchlists.
• Proficiency in developing analytical queries, dashboards, and automated alerts.
• Ability to leverage open-source data for link analysis and identifying fraud networks.
• Capability to produce high-quality intelligence products with clear analytical rigor.
• Track record of partnering with internal stakeholders and delivering actionable reporting to leadership.

Desired Knowledge, Skills, and Abilities (KSAs):

• Robust knowledge of fraud schemes, regulatory frameworks, and fraud-detection methodologies.
• Strong analytical skills using tools such as Microsoft Power BI.
• Working knowledge of SQL and Python/R for data analysis.
• Ability to translate operational observations into data insights.
• Clear written and verbal communication skills.
• Excellent planning, organizational, and time management skills.