Annual Remuneration: €95,000 - €115,000 and discretionary annual bonus
Pay Frequency: Monthly
Probationary Period: 180 days
Work Arrangement: Hybrid, 3-days per week
TL;DR Kharon is seeking a full-time Senior Data Scientist, Graph Risk Analytics based in Madrid.
RESPONSIBILITIES:
Responsibilities:
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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
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Designing and implementing complex analytical logic that translate nuanced geopolitical and financial risk into structured, interpretable outputs
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Building and maintaining scalable data pipelines and graph-based ML systems that power risk scoring and entity analysis
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Partnering closely with Research, Product, and Engineering teams to understand evolving risk frameworks and translate them into robust, maintainable systems
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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
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Exploring how LLMs and other AI techniques can be integrated to handle increasingly complex risk logic
QUALIFICATIONS:
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A proven interest or experience in integral security, financial crimes, sanctions, export controls, or related domains
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4+ years of experience as a Data Scientist, with demonstrated ownership of production systems
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Strong foundation in statistics and the ability to apply quantitative methods to complex, real-world problems
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Proficiency in Python, SQL, and working with graph databases or knowledge graph structures
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Experience with graph analysis, graph ML, or network analysis — professional experience is a strong differentiator
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Comfort working across research and data engineering contexts — this role spans all three
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Experience with Docker, Kubernetes, and API development
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Strong product instincts — able to go de
📌 Senior Data Scientist, Graph Risk Analytics (Madrid)
🏢 Kharon
📍 Madrid
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