Founding Quant Researcher: AI-Powered Portfolio Architect

Storm2; San Francisco (CA); On-site; USD 225,000 - 300,000; Full time

Job summary

A stealth startup in WealthTech is seeking a Founding Quant in San Francisco to develop advanced portfolio management tools. Candidates should have a strong background in portfolio construction and asset allocation, with proficiency in Python and AI methodologies. This role involves optimizing investment strategies under real-world constraints, including tax considerations. The compensation ranges from $225,000 to $300,000 annually plus bonuses and equity opportunities.

Qualifications

• Experience with portfolio construction and management in wealth management.
• Proficiency in Python and modern AI/ML frameworks.
• Working knowledge of tax considerations in investment.

Responsibilities

• Developing portfolio construction and optimization methods under real-world constraints.
• Implementing approaches across risk-based and return-based optimization frameworks.
• Building scalable Python systems for rebalancing and risk management.
• Designing risk models and validating portfolio constraints.
• Encoding U.S. tax considerations into portfolio logic.
• Using AI tools in experimentation and research workflows.
• Translating complex quantitative behavior into clear explanations.

Skills

Portfolio construction

Asset allocation

Python

AI tools

Education

Advanced degree in quantitative field (Masters or Ph.D.)

Job description

A stealth startup in WealthTech is seeking a Founding Quant in San Francisco to develop advanced portfolio management tools. Candidates should have a strong background in portfolio construction and asset allocation, with proficiency in Python and AI methodologies. This role involves optimizing investment strategies under real-world constraints, including tax considerations. The compensation ranges from $225,000 to $300,000 annually plus bonuses and equity opportunities.