Senior Data Scientist – Cyber Risk Analytics
Core
Design, develop, and operationalize advanced analytical, machine learning, and AI-driven solutions to assess, monitor, and anticipate third-party cyber risks.
Role type
Senior IC data scientist (cyber risk analytics)
Builds
Continuous risk models, dynamic vendor risk scoring capabilities, and agentic AI solutions for third-party risk management.
Domain
Financial services / Cybersecurity / Third-Party Risk Management
Deliverable
production ML models
Required skills
Python, SQL, statistical modelling, machine learning, predictive analytics, anomaly detection, feature engineering, MLOps, LLMs, agentic AI architectures
Preferred skills
Financial services regulatory experience, cybersecurity concepts, risk scoring methodologies, probabilistic modelling, cloud-based data platforms
Technologies
Python, SQL, LLMs, MLOps tools
Responsibilities
Design and maintain AI models to quantify third-party cyber risk; develop dynamic vendor risk scoring by integrating internal and external data sources; apply predictive analytics and anomaly detection; develop agentic AI solutions leveraging LLMs; take end-to-end ownership of the model lifecycle; collaborate with cybersecurity teams to translate risk challenges into scalable solutions; ensure model robustness, explainability, and regulatory alignment.
Seniority
Senior, hands-on IC
