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About the Role
We are seeking a Portfolio Manager to oversee thousands of customer portfolios and contribute to building an AI-driven investment experience. This role involves ensuring portfolio performance, analyzing drivers of returns, and collaborating with investment and engineering teams to enhance portfolio management at scale. You will translate investment expertise into a product that empowers customers to understand their investments and make informed decisions, with a focus on AI analysis and licensed human oversight.
Responsibilities
- Oversee thousands of customized equity accounts, monitoring performance against benchmarks, reviewing risk exposures, and defining automated checks for tracking error, cash balances, and factor exposures.
- Refine portfolio construction, risk monitoring, risk and performance attribution, and support the testing and rollout of new investment capabilities.
- Design alerts to surface unexpected behavior, focusing human attention where judgment matters most.
- Consider tax-awareness throughout portfolio implementation, including awareness of US tax regulations relevant to both long only and long/short equity investing.
- Ensure compliance with all internal and external rules and regulations.
- Translate quantitative expertise into automated portfolio analysis, personalized guidance, and rigorous real-world test cases for AI outputs.
- Develop real-world test cases and evaluate AI-generated analysis and recommendations.
- Identify missing context or flawed assumptions in AI outputs.
- Work with compliance to establish appropriate boundaries and determine when a licensed professional needs to review a decision.
- Explain portfolio performance to customers and help them evaluate complex investment decisions.
- Turn recurring customer questions into product capabilities.
Requirements
- 5+ years of quantitative equity portfolio management with direct responsibility for decisions and outcomes.
- Strong preference for experience with long/short strategies.
- Quantitative equity research experience is a significant plus.
- Deep understanding of how market and factor exposures drive returns, how to measure risk, and how implementation choices affect performance.
- Comfort with portfolio optimization, performance attribution, margin requirements, and the economics of financing and short borrowing.
- Solid economic intuition and good commercial instinct.
- Undergraduate or graduate degree in a STEM field.
- Robust programming experience (Python, SQL) for analyzing portfolio data and collaborating with engineers.
- Exceptional attention to detail, thoroughness, organization, and effective time management skills.
- Ability to thrive in a team-oriented, collaborative environment with a positive attitude.
- Ability to experiment with AI tools and think critically about their outputs.
- Ability to translate investment reasoning into clear product requirements.
- Ability to recognize when an answer is incomplete or wrong.
- Ability to earn the trust of sophisticated investors and explain complex decisions clearly.
- Comfort discussing uncertainty and helping customers understand their options.
- Ability to notice when something doesn't look right and follow through until understood.
- Ability to know when to act independently and when to bring in another expert.
- Understanding of tax-aware investing is a plus.
- Understanding of tax-loss harvesting and wash-sale constraints.
- Ability to evaluate tax benefits alongside investment risk and costs.
- CFA designation is preferred, but not required.
- Must hold, or be willing to obtain, the necessary registrations for responsibilities.
Skills
- Quantitative equity portfolio management
- Long/short equity strategies
- Quantitative equity research
- Equities portfolio management
- Market and factor exposures
- Risk measurement
- Portfolio optimization
- Performance attribution
- Margin requirements
- Financing and short borrowing economics
- Python
- SQL
- AI tools
- Tax-aware investing
- Tax-loss harvesting
- Wash-sale constraints
Location
- San Francisco
- New York
Work Type
- In-person collaboration
Experience Level
- 5+ years of quantitative equity portfolio management
Education Level
- Undergraduate or graduate degree in a STEM field
Benefits
- Competitive salary and equity grants
- Fully paid health, vision and dental insurances
- 401k
- Monthly allowance for fitness & mental health
- Flexible (Unlimited) paid time off
- Visa sponsorship & immigration support
- Daily in-office lunch and dinner
About the Company
- Frec is building the modern investment platform for high-net-worth investors, combining self-directed investing with managed strategies in a single brokerage account.
- We leverage AI to make sophisticated investing more personal and intuitive.
- Customers have entrusted us with $1.5 billion in assets, a 4x increase in the last year.
- We are backed by Greylock and have achieved significant scale with a small team.
- We aim to build the primary investment platform for a new generation of investors.