Senior Data Scientist, Graph Risk Analytics
Hybrid Madrid Full-time Senior Data Science
At a glance
Senior Data Science role at Kharon. Madrid · full-time · €95,000–€115,000 base.
SalaryStated by Kharon
€95,000 – €115,000
Base salary for this role, in EUR per year, as published in the posting.
RoleData Science
SenioritySenior
LocationMadrid
WorkplaceHybrid
EmploymentFull-time
Base pay€95,000–€115,000
PostedJun 15, 2026 · 4mo ago
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Take charge of the production system that assesses entities in a knowledge graph and identifies risk signals for customers
- Turn complex geopolitical and financial risks into analytical outputs that are structured and understandable
- Build and support scalable pipelines and graph-based machine-learning systems for risk scores and entity analysis
- Work with research, product and engineering colleagues to turn changing risk frameworks into dependable systems
- Improve the live system’s architecture and explore AI methods for handling more complex risk logic
What you bring
- At least four years as a data scientist, including ownership of systems running in production
- Strong statistical skills and the ability to use quantitative methods on complex real-world problems
- Proficiency in Python and SQL, plus experience with graph databases or knowledge graph structures
- Experience with Docker, Kubernetes and API development
Who this fits
This senior role suits someone comfortable spanning research, data engineering and product work, with a strong technical focus and attention to customer and business outcomes. Relevant interest or experience includes global security, financial crime, sanctions or export controls. The position is based in Madrid and follows a hybrid schedule with three days per week on site.
From the employer
Location: Madrid, Spain 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:
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
- 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
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