Global Lead Portfolio Advisor - $150/hr
About the role
About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .
Position: Portfolio Manager
Type: Contract Compensation: $150/hour Location: Remote Commitment: 20–30 hours/week Role Responsibilities
- Design and execute portfolio strategies that integrate both fundamental and AI-generated insights.
- Manage portfolio construction, optimization, and risk analytics to ensure consistent performance.
- Monitor and analyze portfolio attribution, exposures, and performance metrics across asset classes.
- Collaborate with data scientists and engineers to refine quantitative models and signals.
- Lead and mentor analysts, fostering a culture of analytical rigor and innovation.
- Communicate investment outlooks, performance updates, and strategy rationale to stakeholders.
Qualifications Must-Have
- 8+ years of experience in investment management, including 5+ years as a lead or co-Portfolio Manager.
- Proven track record of alpha generation and strong risk-adjusted performance.
- Expertise in portfolio optimization, asset allocation, and factor analysis.
- Skilled in Bloomberg, FactSet, and portfolio analytics tools; familiarity with Python, R, or quant methods preferred.
- Exceptional leadership and communication skills; collaborative, data-driven mindset.
Preferred
- CFA, MBA, or equivalent quantitative background strongly preferred.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
- For any help or support, reach out to: support@mercor.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ,
Global Lead Portfolio Advisor - $150/hr
About the role
About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .
Position: Portfolio Manager
Type: Contract Compensation: $150/hour Location: Remote Commitment: 20–30 hours/week Role Responsibilities
- Design and execute portfolio strategies that integrate both fundamental and AI-generated insights.
- Manage portfolio construction, optimization, and risk analytics to ensure consistent performance.
- Monitor and analyze portfolio attribution, exposures, and performance metrics across asset classes.
- Collaborate with data scientists and engineers to refine quantitative models and signals.
- Lead and mentor analysts, fostering a culture of analytical rigor and innovation.
- Communicate investment outlooks, performance updates, and strategy rationale to stakeholders.
Qualifications Must-Have
- 8+ years of experience in investment management, including 5+ years as a lead or co-Portfolio Manager.
- Proven track record of alpha generation and strong risk-adjusted performance.
- Expertise in portfolio optimization, asset allocation, and factor analysis.
- Skilled in Bloomberg, FactSet, and portfolio analytics tools; familiarity with Python, R, or quant methods preferred.
- Exceptional leadership and communication skills; collaborative, data-driven mindset.
Preferred
- CFA, MBA, or equivalent quantitative background strongly preferred.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
- For any help or support, reach out to: support@mercor.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ,