Mercor

Quantitative Finance Forecasting Analyst

Mercor WorkFromHome

Stellenbeschreibung:

Quantitative Finance Forecasting Analyst

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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 .

This range is provided by Mercor. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Direct message the job poster from Mercor to inquire further.

Base Pay Range

$105.00/hr - $140.00/hr

Role Responsibilities

  • Generate probabilistic forecasts on financial markets, instruments, and macro indicators.
  • Document quantitative reasoning, models, and relevant assumptions.
  • Analyze historical data and identify signals across asset classes.
  • Calibrate predictions with peers across economics and finance domains.
  • Contribute to the refinement of forecasting methodologies and inputs.
  • Work independently and asynchronously to improve AI prediction systems.

Qualifications

  • Must-Have: Background in quantitative finance, trading, economics, or data science.
  • Must-Have: Experience with financial forecasting, trading strategies, or market modeling.
  • Must-Have: Familiarity with tools like Python, R, or Excel for data analysis and backtesting.
  • Must-Have: Strong written communication and analytical skills.
  • Preferred: Participation in forecasting competitions (e.g., Numerai, QuantConnect).

Compensation & Legal

  • Independent contractor

Application Process (takes 20–30 minutes to complete)

  • Submit your Mercor profile or resume to get started.
  • Complete a brief form.
  • We’ll follow up within a few days with next steps.

Resources & Support

  • For details about the interview process and platform information, please check:
  • For any help or support, reach out to:

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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:

    30 Nov 2025
  • Standort:

    WorkFromHome
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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