Senior Data Scientist, Graph Risk Analytics

Kharon; Madrid; Híbrido; EUR 95.000 - 115.000; Jornada completa

Descripción de la vacante

Kharon is looking for a full-time Senior Data Scientist, Graph Risk Analytics in Madrid. This role involves taking ownership of the risk analytics system and collaborating with various teams to enhance system reliability. Candidates should have a strong foundation in data science and experience with technologies such as Python, SQL, and Docker.

The position offers competitive compensation ranging from €95,000 to €115,000 per year, along with a hybrid working environment, making it an attractive opportunity for experienced professionals.

Formación

• Proven interest or experience in global security or financial crimes.
• 4+ years of hands-on experience with production systems.
• Strong ability to apply quantitative methods to complex problems.
• Proficiency in Python, SQL, and graph databases.

Responsabilidades

• Own Kharon's risk propagation and entity analytics system.
• Implement complex analytical logic for risk evaluation.
• Build and maintain scalable data pipelines and ML systems.
• Collaborate with cross-functional teams on risk frameworks.

Conocimientos

Global security interest

Experience as a Data Scientist

Statistical foundation

Proficiency in Python

Experience with SQL

Experience with graph databases

Graph analysis skills

Experience with Docker

Experience with Kubernetes

API development

Descripción del empleo

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 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

About Kharon

Kharon operates at the nexus of global security and is on a mission to revolutionize the current landscape. We take complex data as it relates to global security and empower our clients to not only understand the risk associated with their potential business relationships but to operationalize that data so that they can make the best and most informed decisions possible.

From financial crimes and sanctions to export controls and threat identifications, our tools optimize protection against the types of risks that could otherwise be incredibly dangerous and excessively costly to any business. Serving many of today’s leading global financial and multinational institutions, Kharon products are the most powerful in the space with a precision and depth that is absolutely unparalleled.

When you look at any major global crisis event, we’re providing intelligence that’s at the heart of those circumstances. We connect the dots in a way that’s meaningful. As the world continues to evolve in complexity, so too does the demand for our products. Given the significance of our work and the increasing global reliance on our insights, we are looking for a Senior Data Scientist, Graph Risk Analytics to join us as we work to shape the way businesses perceive and navigate global risks.

Disclosures

Kharon is committed to cultivating and maintaining a workplace that is free from harassment and discrimination. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ethnicity, gender, gender identity or expression, sexual orientation or identity, neurodiversity, appearances, age, protected veteran status, or status as a qualified individual with disability.

If you require any adjustment to participate in the recruitment process, please contact [e-mail]. You must have the right to work in Europe and Spain. Kharon is unable to offer visa sponsorship for this role.

By applying for this position, you acknowledge that Kharon will process your personal data for recruitment purposes in accordance with applicable data protection laws, including the EU General Data Protection Regulation and Spanish data protection legislation. For information about how we collect, use, store, and protect your personal data, please review your Candidate Privacy Notice at www.kharon.com/privacy. You have the right to access, correct, or request deletion of your data, to object to or restrict its processing, and to lodge a complaint with the Spanish data protection authority, the AEPD, at www.aepd.es. To exercise your rights, contact us at [e-mail].

If your application is unsuccessful, your data will be retained for up to 12 months before being securely deleted. If you accept a role, your data will transfer to your employee record.