Quant Engineer: Illiquid Asset Pricing & ML Data Infra

Jobot; San Francisco (CA); On-site; USD 300,000 - 375,000; Full time

Job summary

Jobot in San Francisco seeks a Quant Engineer to build and refine pricing models for illiquid private-market assets and to develop the data infrastructure that underpins our product platform.

You will work with proprietary datasets, apply ML and data engineering, and collaborate with engineering, product, sales, and leadership to deliver solutions used by major financial institutions. Four days in the office each week in SF.

Qualifications

• Professional experience as a Quant at a trading desk, hedge fund, bank, asset manager.
• Strong foundation in statistics, probability, applied mathematics, financial modeling, or machine learning.
• Degree in mathematics, statistics, data science, computer science, financial engineering, or another quantitative discipline.
• Master’s degree preferred.
• Strong software-engineering and data-engineering capabilities.
• Experience working with large, complex, or imperfect financial datasets.
• Ability to translate technical concepts for both quantitative and non-technical audiences.
• Comfortable operating with significant ownership in an early-stage environment.
• Able to work from our San Francisco office four days per week.

Responsibilities

• Build, maintain, and improve quantitative pricing models for illiquid assets
• Research new datasets, features, and market signals that can improve model performance
• Design and build pipelines that collect, parse, validate, and store financial data
• Develop machine-learning systems using structured and unstructured datasets
• Experiment with LLMs to automate data ingestion, extraction, and quality-control workflows
• Improve the scalability and efficiency of existing data pipelines
• Produce custom analyses and data deliverables for institutional clients
• Explain quantitative methodologies and data-collection strategies during select client conversations
• Collaborate closely with engineering, product, sales, and company leadership

Skills

Quant Finance

Statistics

Machine Learning

Data Engineering

Software Engineering

Education

Master's degree preferred

Quantitative degree

Job description

Jobot in San Francisco seeks a Quant Engineer to build and refine pricing models for illiquid private-market assets and to develop the data infrastructure that underpins our product platform.

You will work with proprietary datasets, apply ML and data engineering, and collaborate with engineering, product, sales, and leadership to deliver solutions used by major financial institutions. Four days in the office each week in SF.