Lead Quant Engineer, Private Markets Data Systems

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 is seeking a Quantitative Engineer (Private Markets) in San Francisco to own models and data infrastructure powering our private-market intelligence platform. You will develop pricing models, build production pipelines, and collaborate with a lean team to deliver client-ready solutions.

The role emphasizes ownership of modeling, data features, and ML-driven data ingestion, with equity and a highly competitive compensation package. On-site four days per week in San Francisco.

Qualifications

• Experience in quantitative finance or data-driven trading environments.
• Strong background in statistics and financial modeling.
• Hands-on experience building production-grade data pipelines.
• Master’s degree or PhD strongly preferred.

Responsibilities

• Model development: build and improve pricing and valuation models for illiquid private-market assets.
• Feature engineering: identify, test, and integrate new financial features and data signals.
• Production pipelines: develop scalable data pipelines for ML models and client products.
• AI innovation: experiment with LLMs to scale data ingestion and QA.
• Client advisory: analyze large proprietary datasets and explain methods to clients.
• Product ownership: collaborate with engineering to shape architecture and roadmap.

Skills

Financial rigor

Mathematics

Data engineering

Machine learning

Communication skills

Education

Data Science / Mathematics / Statistics / CS / Financial Engineering (MS/PhD preferred)

Job description

Jobot is seeking a Quantitative Engineer (Private Markets) in San Francisco to own models and data infrastructure powering our private-market intelligence platform. You will develop pricing models, build production pipelines, and collaborate with a lean team to deliver client-ready solutions.

The role emphasizes ownership of modeling, data features, and ML-driven data ingestion, with equity and a highly competitive compensation package. On-site four days per week in San Francisco.