full-time
Quant Engineer
Jobot
- Employer
- Jobot
- Location
- San Francisco
- Working pattern
- hybrid
- Salary
- $300,000–$375,000 / year
About the role
Build and improve quantitative pricing models for illiquid private-market assets, and develop scalable pipelines to collect, validate, and store financial data. Research useful datasets and market signals, apply machine learning and LLMs to data workflows, and deliver analyses while explaining methodologies to institutional clients. Candidates should have professional quantitative experience in an institutional financial environment and a strong foundation in quantitative disciplines such as statistics, applied mathematics, financial modeling, or machine learning. A relevant quantitative degree is required, with a master's preferred, alongside strong software and data engineering capabilities, experience with complex financial datasets, and the ability to communicate technical concepts.