Senior Data Scientist, Graph Risk Analytics
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Role details
Tech stack
Job description
- 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, 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. We are committed to making reasonable adjustments to support disabled applicants and employees. If you require any adjustment to participate in the recruitment process, please contact apply@kharon.com You must have the right to work in the UK. Kharon is unable to offer visa sponsorship for this role.
Requirements
- 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
Benefits & conditions
Pulled from the full job description
- Annual leave
- Company pension
- Private medical insurance
About the company
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 AI Engineer, Agentic Systems to join us as we work to shape the way businesses perceive and navigate global risks. Company Benefits
- Fully-sponsored private health insurance
- Pension plan with 3% employer contribution
- Annual leave plus bank holidays
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