Portfolio Manager (Buy-Side) at Mercor | Torre

Portfolio Manager (Buy-Side)

You will shape the future of AI-driven asset management by guiding cutting-edge model development.
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Freelance
Recurrent (~40 hours per week)
Compensation USD150/hour
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Remote (anywhere)
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Emma of Torre.ai
9 days ago

Requirements and responsibilities


Job DescriptionWe are hiring experienced Portfolio Managers to contribute their expertise in portfolio construction, risk management, and investment strategy toward building advanced AI systems for institutional investing.Key ResponsibilitiesProvide high-level input on portfolio construction and asset allocationEvaluate AI-generated portfolio strategies and risk frameworksAssess investment decisions across multiple asset classesGuide model development with real-world portfolio management insightsStress-test strategies under different market conditionsContribute to training data and evaluation frameworksRequirements8+ years in investment management, with 5+ years as a PM or Co-PMProven track record managing institutional or HNW portfoliosStrong expertise in portfolio optimization, risk management, and alpha generationDeep understanding of market dynamics and macro driversExcellent judgment and decision-making abilityNice to HaveCFA or MBAExperience managing multi-asset or global portfoliosFamiliarity with quant or data-driven investment approachesWhy JoinHelp build the future of AI-driven asset managementFlexible, expert-level engagementInfluence cutting-edge systems used by next-gen investment platformsContract and Payment TermsYou will be engaged as an independent contractor.This is a fully remote role that can be completed on your own schedule.Projects can be extended, shortened, or concluded early depending on needs and performance.Your work at Mercor will not involve access to confidential or proprietary information from any employer.Payments are weekly on Stripe or Wise based on services rendered.Please note: We are unable to support H1-B or STEM OPT candidates at this time.About MercorMercor partners with leading AI labs and enterprises to train frontier models using human expertise.
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