Quant Engineer, Private Markets — Equity & Growth (SF)

Jobot; San Francisco (CA); On-site; USD 300,000 - 360,000; Full time

Benefits offered by this job

Competitive Base Salary

Extremely Competitive Benefits

Flexible Work Schedules

Accelerated Career Growth

Job summary

Jobot in San Francisco, CA is seeking a Quantitative Engineer to own models and the data infrastructure powering private-market intelligence. You will shape pricing and valuation for illiquid assets, build production pipelines, and work directly with clients to translate complex signals into actionable insights.

The role requires strong quantitative foundations, experience with production data engineering, and collaboration with a lean engineering team.

Qualifications

• Experience in quantitative roles at trading desks, hedge funds, banks, or similarly rigorous finance environments.
• Strong background in statistics, applied math, financial modeling, machine learning, or quantitative research.
• Hands-on experience building and maintaining production data pipelines.
• Ability to articulate complex technical methodologies clearly to sophisticated financial clients.

Responsibilities

• Model development: build and improve pricing/valuation models for illiquid private-market assets.
• Feature engineering: identify/test/integrate new financial signals to drive model accuracy.
• Production pipelines: develop scalable pipelines supporting ML models and client products.
• AI innovation: experiment with LLMs to automate data ingestion and quality assurance.
• Client advisory: analyze large proprietary datasets and explain methodology to clients.
• Product ownership: collaborate with engineering to shape architecture and roadmap.

Skills

Quantitative research

Statistical modeling

Machine learning

Data pipelines

LLMs

Education

Data Science/Math/CS degree

Advanced degree preferred

Tools

Python

SQL

Spark

Job description

Jobot in San Francisco, CA is seeking a Quantitative Engineer to own models and the data infrastructure powering private-market intelligence. You will shape pricing and valuation for illiquid assets, build production pipelines, and work directly with clients to translate complex signals into actionable insights.

The role requires strong quantitative foundations, experience with production data engineering, and collaboration with a lean engineering team.