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mercor

mercor

Investment Researcher - Fully Remote

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Fully RemoteData & AIIreland

Salary

$2k–$2k

Posted

10h ago

Source

himalayas

Investment ResearchFinancial AnalysisMarket AnalysisAI ResearchInvestment Researcher

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: Hedge Fund Expert
Type:Contract
Compensation:$200/hour
Location:Remote
Duration:Minimum four weeks
Commitment:10+ hours/week

Role Responsibilities

  • Evaluate hedge fund strategies related to long/short equity to enhance AI model training.
  • Develop and review financial models to improve AI-generated financial content.
  • Conduct market sizing and TAM analysis to inform AI research teams.
  • Analyze investment research, summaries, and memos for AI model evaluation.
  • Predict and analyze earnings to refine AI model outputs.
  • Work independently and asynchronously to meet deadlines and improve AI model performance.

Qualifications

Must-Have

  • 2+ years of experience in top hedge funds.
  • Experience in financial modeling, market sizing/TAM analysis, or investment research.

Start Date

  • October

Compensation & Legal

  • Hourly contractor
  • Paid weekly

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
  • 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.

Salary in context

This salary range is below the typical band for remote Data & AI roles — comparable roles on RemoteTide top out closer to $130k.

Before you apply

  • Confirm data stack maturity (warehouse, transformation, BI tooling)
  • Ask whether the role is analyst-leaning or ML/eng-leaning
  • Check data quality ownership — who owns the source-of-truth?

Interested in this role?

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