Mercor

Portfolio Management Lead

Mercor WorkFromHome

Stellenbeschreibung:

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: $100/hour

Commitment: 20–30 hours/week

Role Responsibilities

  • Collaborate with AI researchers to train, evaluate, and improve AI models that simulate portfolio construction, optimization, and risk management.
  • Review and assess model outputs for investment reasoning quality, portfolio allocation accuracy, and consistency with real-world financial logic.
  • Provide expert feedback on strategy design, asset selection, risk‑reward tradeoffs, and market interpretation.
  • Contribute to the creation of evaluation frameworks that benchmark model performance against established portfolio management principles.
  • Participate in synchronous collaboration sessions (4‑hour windows, 2–3 times per week) to discuss experiments, analyze model outputs, and provide structured guidance on investment strategy and decision flow.

Qualifications

  • 8+ years of experience in portfolio management, investment strategy, or asset management.
  • Strong understanding of risk analytics, asset allocation, portfolio optimisation, and performance attribution.
  • Proficiency in financial modelling tools and analytical platforms (Python, Excel, R, or MATLAB).
  • Advanced degree in Finance, Economics, Mathematics, or CFA / MBA designation.
  • Excellent ability to articulate and rationalise investment decisions.

Application Process

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • Interview platform information:
  • Contact support:

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NOTE / HINWEIS:
EnglishEN: Please refer to Fuchsjobs for the source of your application
DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

Stelleninformationen

  • Veröffentlichungsdatum:

    29 Nov 2025
  • Standort:

    WorkFromHome
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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