Senior Data Scientist, Graph Risk Analytics

Key Responsibilities

• Taking ownership of Kharon's risk propagation and entity analytics system — the engine that evaluates entities in our knowledge graph and surfaces meaningful risk signals to customers
• Designing and implementing complex analytical logic that translate nuanced geopolitical and financial risk into structured, interpretable outputs
• Building and maintaining scalable data pipelines and graph-based ML systems that power risk scoring and entity analysis
• Partnering closely with Research, Product, and Engineering teams to understand evolving risk frameworks and translate them into robust, maintainable systems
• Iterating on the system's architecture to increase the complexity and precision it can handle — this is not a rip-and-replace, but a thoughtful evolution of a system already in production
• Exploring how LLMs and other AI techniques can be integrated to handle increasingly complex risk logic

Skills & Knowledge

• A proven interest or experience in global security, financial crimes, sanctions, export controls, or related domains
• 4+ years of experience as a Data Scientist, with demonstrated ownership of production systems
• Strong foundation in statistics and the ability to apply quantitative methods to complex, real-world problems
• Proficiency in Python, SQL, and working with graph databases or knowledge graph structures
• Experience with graph analysis, graph ML, or network analysis — professional experience is a strong differentiator
• Comfort working across research and data engineering contexts — this role spans all three
• Experience with Docker, Kubernetes, and API development
• Strong product instincts — able to go deep technically while staying aligned to customer and business outcomes
• Bonus: Experience with LLMs or AI-assisted analytical systems