Department:
Engineering
Location:
Madrid
Compensation:
€95,000 - €115,000 / year
Description
Annual Remuneration: €95,000 - €115,000 and discretionary annual bonus
Pay Frequency: Monthly
Probationary Period: 180 days
Work Arrangement: Hybrid, 4-days per week
TL;DR: Kharon is seeking a full-time Senior Data Scientist, Graph Risk Analytics based in Madrid.
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
Qualifications
A proven interest or experience in general 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
📌 Senior Data Scientist, Graph Risk Analytics (Madrid)
🏢 Kharon
📍 Madrid