Member of Technical Staff, Quantitative Research
Core
Develop quantitative models for frontier risks in AI and autonomous systems, reasoning from first principles to estimate probability and severity where data is sparse or non-existent.
Role type
Senior quantitative researcher (AI risk modeling)
Builds
Production pricing systems and statistical/ML models for insuring the AI economy
Domain
Insurance / Artificial Intelligence / Quantitative Finance
Deliverable
production ML models
Required skills
statistics, probability theory, machine learning, applied mathematics, econometrics, data generation, simulation, uncertainty quantification, Python/R (implied by codebase contribution), thesis formation
Preferred skills
experience at hedge funds or market makers, PhD in related field, experience with LLM labeling pipelines
Technologies
LLMs, statistical modeling frameworks, simulation tools
Responsibilities
Estimate probability and severity of frontier risks (e.g., autonomous vehicle accidents, AI errors), build frequency and severity models from scratch, develop statistical/ML models with sparse/noisy data, design experiments and data generation pipelines, take quantitative problems end-to-end from thesis to implementation, turn research into production pricing systems
Seniority
Senior, hands-on IC