AI Threat Analyst - Insider Risk

About the role

Join our team as an AI Threat Analyst supporting the Insider Risk Program and championing the Security Program’s business operations and AI-driven initiatives. You will collaborate with key program stakeholders, using cyber tools to surface insider-threat trends, advance insider-risk awareness, and enable proactive defensive and offensive security capabilities. Our team is responsible for government affairs, international strategy, international business, and trade and regulatory compliance, providing strategic guidance across the organization to align SNC with U.S. national security priorities.

Responsibilities

• Be a trusted partner for the Security team and all Insider Risk program stakeholders, collaborating cross-functionally to foster a proactive, holistic insider threat program.
• Drive the development and deployment of complex data science, insider threat, and AI security solutions.
• Collaborate with program leadership and senior stakeholders to shape data strategy and define project goals.
• Implement advanced AI solutions for both offense and defense security operations.
• Ensure data quality, security, and governance.
• Mentor and guide junior and mid-level threat analysts.
• Lead the creation of detailed reports and visualizations to communicate insights and recommendations.
• Implement advanced statistical models and machine learning algorithms.
• Continuously enhance program processes, tools, and methodologies.
• Stay abreast of industry threat trends and advancements in technology.

Requirements

• Bachelor’s degree in Data Science, Statistics, Computer Science, or a related Intelligence field. A higher-level relevant degree may substitute for experience. In the absence of a degree, a minimum of 9 years of related experience is required.
• 5+ years of experience in data science or a related role. Relevant experience can be considered as a substitute for the required educational qualifications.
• Experience with cyber security tools, applications, and/or software such as Security Information and Event Management (SIEM)/User and Entity Behavior Analytics (UEBA) platforms.
• Proven ability to analyze large and unstructured data sets to discover active insider threats, uncover insider risk indicators and/or emerging AI threat trends, and identify anomalies indicative of malicious insider activities.
• Proficiency in programming languages such as Python or R.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Strong analytical and problem-solving skills.
• Data-oriented personality with applied statistics skills, such as distributions, statistical testing, regression, etc.
• Knowledge of machine learning techniques and algorithms, including Large Language Models (LLMs/Generative AI).
• Experience with common data science toolkits and proficiency in using query languages such as SQL.
• Good scripting and programming skills (e.g., Python).
• Self-directed and outcome-oriented, ensuring quality output, identifying gaps in process, proposing solutions, and driving initiatives to completion with minimal oversight.
• An active Top Secret U.S. Security Clearance is required.

Preferred Qualifications

• Continuous learner across the AI threat landscape with a focus on building AI fluency for both offensive and defensive security.
• Adaptive problem solver comfortable operating in evolving threat climates, translating novel AI-enabled risks into practical detections, policy, and risk mitigations proactively.
• Active Insider Threat, Cyber, or AI certifications and/or membership in industry-recognized standards (e.g., ISC2, CMU ITPM, SANS).
• Familiarity with cloud platforms (e.g., AWS, Azure).
• Experience with AWS Data Warehousing: AWS RDS (PostgreSQL), Redshift.
• Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Amazon DynamoDB.

Essential Functions

• Ability to manipulate and analyze large datasets.
• Ability to work on a computer for extended periods.
• Must be able to present complex data findings in an understandable manner.
• Occasional travel may be required.
• Must be able to lift up to 10 lbs occasionally.
• Perform data cleaning, preparation, and transformation to ensure the quality and integrity of data used for analysis.

Pay

Estimated starting salary range: $136,114.28 - $187,157.14.

Benefits

• Medical, dental, and vision plans.
• 401(k) with 150% match up to 6%.
• Life insurance.
• 3 weeks paid time off.
• Tuition reimbursement.