Description

Build and validate quantitative models to identify insider risks and support governance investigations.

This role is on-site.

Responsibilities

• Design and refine statistical models, regression, classification, and clustering algorithms to detect insider threats.
• Collaborate with Cybersecurity, HR, Legal, and Compliance teams to develop risk frameworks.
• Translate complex enterprise data into clear risk signals and executive-level metrics.
• Ensure model explainability, governance, and validation meet regulatory standards.
• Support the development of human risk scores and predictive analytics tools.

Required Skills

• 5+ years of experience in data science, risk modeling, or quantitative analysis.
• Proficiency in Python and/or R for statistical modeling.
• Strong SQL skills for large-scale data analysis.
• Experience with anomaly detection and machine learning techniques.
• Bachelor’s or Master’s degree in Data Science, Statistics, Applied Mathematics, Computer Science, or related field.
• Ability to explain complex analytical concepts to non-technical stakeholders.
• Experience in regulated industries is preferred.

Key Skills

Education

Any Graduate