Similar Jobs
See allRole Summary:
- Designing and maintaining quantitative models for risk areas.
- Developing methodologies that combine qualitative judgement with quantitative data.
- Using LLMs to support qualitative analysis at scale.
Knowledge, Skills, and Abilities:
- Experience in applied data science.
- Proficiency in Python for data analysis and modelling.
- Experience working with time-series, geospatial, event-based, or text data.
Qualifications:
- Degree in a quantitative or analytical discipline.
- Experience collaborating with software engineering teams.
- Familiarity with model interpretability and AI governance.
Sibylline
Sibylline is a leading intelligence and strategic risk consultancy in the security sector, supporting businesses, governments, and NGOs by providing high-quality risk analysis, due diligence, and consultancy services since 2010. They offer an innovative, entrepreneurial, and fast-growing working environment, with fantastic opportunities for career progression.