Job Details

Overview

Our client is a scaling start-up assembling a world-class team from leading funds and AI companies to transform the wealth management space. Backed by renowned investors with a proven track record in fintech, they are actively hiring a Quant Research Engineer with strong fundamentals in asset allocation, portfolio optimisation, and AI-driven recommendations.

Responsibilities

• Develop portfolio optimisation algorithms that balance return and risk
• Build machine learning models that personalise investment strategies at scale
• Conduct quantitative research to drive the AI platform's investment recommendations
• Engage with direct advisor relationships to understand real-world constraints and opportunities

Qualifications

• PhD degree in Mathematics, Operations Research, Physics, or Computer Science strongly preferred, unless you have 7+ years of experience
• Prior experience in a top-performing fund is desirable

Details

• Base pay range: $200,000.00/yr - $300,000.00/yr
• On-site policy: 4-5 days per week in SF
• Equity: Competitive
• Non Compete: Can wait up to 3 months
• Visa sponsorship is not available for this position

Location

San Francisco, CA