Quant Engineer: Illiquid Asset Pricing & Data Pipelines

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

Job summary

LeoForce is seeking a Quant Engineer in San Francisco to build pricing models for illiquid assets and to develop data infrastructure supporting these models and our customer-facing platform. The role offers ownership of core models and data systems within a small, capable team.

You will work with proprietary datasets, tackle complex pricing problems, and influence products used by major financial institutions. Four days per week in our SF office, with competitive compensation.

Qualifications

• Quant role experience in a trading desk, hedge fund, bank, asset manager or similar quantitative finance environment.
• 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- and data-engineering capabilities.
• Experience working with large, complex financial datasets.
• Ability to translate technical concepts for both quantitative and non-technical audiences.
• Willing to work from 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

Statistics

Probability

Applied mathematics

Financial modeling

Machine Learning

Software engineering

Data engineering

Education

Bachelor's degree in mathematics, statistics, data science, computer science, financial engineering, or related quantitative field

Master’s degree preferred

Job description

LeoForce is seeking a Quant Engineer in San Francisco to build pricing models for illiquid assets and to develop data infrastructure supporting these models and our customer-facing platform. The role offers ownership of core models and data systems within a small, capable team.

You will work with proprietary datasets, tackle complex pricing problems, and influence products used by major financial institutions. Four days per week in our SF office, with competitive compensation.