Illiquid Asset Pricing Quant Engineer — Equity

Leoforce; San Francisco (CA); Presencial; USD 300.000 - 400.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity

Descripción de la vacante

Leoforce in San Francisco seeks a Quant Engineer to build and refine pricing models for illiquid assets and to develop the data infrastructure powering our models and platform. You will own model development, data pipelines, and collaboration with cross-functional teams in a high-growth fintech setting.

The role emphasizes hands-on quantitative finance, machine learning, and data engineering, with significant ownership and direct impact on institutional clients.

Formación

• Professional experience as a Quant at a trading desk or comparable institutional finance environment.
• Strong foundation in statistics, probability, applied mathematics, financial modeling, or ML.
• Degree in a quantitative field; master's preferred.

Responsabilidades

• Build, maintain, and improve quantitative pricing models for illiquid assets.
• Research new datasets, features, and market signals to improve model performance.
• Design and build pipelines that collect, parse, validate, and store financial data.
• Develop ML systems using structured and unstructured data.
• Experiment with LLMs to automate data ingestion, extraction, and QC 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 client conversations.
• Collaborate with engineering, product, sales, and leadership.

Conocimientos

Statistical foundations

Probability

Applied mathematics

Financial modeling

Machine learning

Data engineering

Educación

Master's degree preferred

Math/Statistics degree

Herramientas

Python

NumPy/Pandas

ML frameworks

Descripción del empleo

Leoforce in San Francisco seeks a Quant Engineer to build and refine pricing models for illiquid assets and to develop the data infrastructure powering our models and platform. You will own model development, data pipelines, and collaboration with cross-functional teams in a high-growth fintech setting.

The role emphasizes hands-on quantitative finance, machine learning, and data engineering, with significant ownership and direct impact on institutional clients.