PlantingSpace | Full-time | Remote (EU time zone) + Quarterly Meet-ups | https://planting.space
Core
Building a system that represents domain knowledge as modular probabilistic models to enforce consistency and propagate uncertainty, with applications in finance and scientific research.
Role type
Quantitative Modelling Engineer
Builds
Modular probabilistic models for equity valuation, distress monitoring, and particle physics
Domain
Finance and scientific research
Deliverable
production ML models
Required skills
probabilistic modeling, quantitative analysis, model consistency enforcement, uncertainty propagation
Preferred skills
equity valuation, distress monitoring, particle physics, interest rate prediction
Technologies
probabilistic modeling frameworks
Responsibilities
Collaborate on use cases from opportunity validation through production, develop modular probabilistic models, ensure consistency across model structures
Seniority
Mid-level, hands-on IC