Mercor

Quantitative Analyst

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: Quantitative Finance Expert
Type: Contract
Compensation: $115–$125/hour
Location: Remote
Commitment: 20 hours/week

Role Responsibilities

  • Author and review technical tasks for evaluating AI model performance in quantitative finance.
  • Produce original problem sets using payoff diagrams, risk charts, return distributions, and time-series plots.
  • Write reference solutions and apply structured quality checks to ensure accuracy.
  • Annotate tasks to improve AI model outputs and strengthen reasoning.
  • Collaborate with AI research teams to enhance training data quality.
  • Work independently and asynchronously with a flexible schedule .

Qualifications

Must-Have

  • PhD in Finance, Financial Economics, or Mathematical Finance, or MS in Quantitative Finance or Financial Engineering with 3+ years experience, or BA/BS in Finance, Math, or Econ with 5+ years experience.
  • Working fluency in at least two of: asset pricing, derivatives, stochastic calculus, risk management, portfolio theory.
  • Comfortable with payoff diagrams, risk charts, return distributions, and time-series plots.
  • Clear technical writing; able to articulate reasoning step-by-step.

Compensation & Legal

  • Hourly contractor

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:
  • For any help or support, reach out to:

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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Stelleninformationen

  • Veröffentlichungsdatum:

    02 Mai 2026
  • Standort:

    Berlin

    Einsatzort:

    Los Angeles
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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