Description

You will develop risk models and analytical frameworks to identify insider threats and support governance.

This role is on-site.

Responsibilities

• Collaborate with Cybersecurity, HR, Legal, and Compliance teams to define risk requirements.
• Design and refine quantitative models, statistical methods, and machine learning algorithms.
• Translate complex enterprise data into clear risk signals and executive-level metrics.
• Develop human risk scores and predictive analytics tools for insider threat detection.
• Ensure model explainability, governance, and validation meet regulatory standards.

Required Skills

• 5+ years of experience in data science, risk modeling, or quantitative analysis.
• Proficiency in building statistical or machine learning models (regression, classification, anomaly detection, clustering).
• Hands-on experience with Python and/or R.
• Strong SQL skills for large-scale data analysis.
• Bachelor’s or Master’s degree in Data Science, Statistics, Applied Mathematics, Economics, Quantitative Finance, Computer Science, or related field.
• Ability to explain complex analytical concepts to non-technical stakeholders.

Key Skills

Education

Any Graduate