Expert Equities Research Reviewer at Mercor

Expert Equities Research Reviewer | $150–180/hr | Worldwide Remote | Part-Time

Mercor is seeking experienced investment professionals to review and evaluate AI-generated equity research reports for a cutting-edge autonomous research system. This high-judgment role is designed for seasoned buy-side or sell-side professionals who can assess institutional-grade financial analysis and help calibrate an AI system built to deliver deep public equities research.

Responsibilities

• Review AI-generated equity research reports for factual accuracy, analytical rigor, and logical coherence
• Evaluate investment theses, price targets, and buy/hold/sell recommendations — identifying unsupported assumptions or reasoning gaps
• Verify financial metrics and modelling logic, including:
  • Revenue growth and margin structure
  • Rule of 40 calculations
  • TAM estimates
  • Valuation multiples and DCF assumptions
• Assess whether conclusions reflect current market realities and align with publicly available data
• Provide structured written feedback across key quality dimensions: source reliability, claim confidence calibration, internal consistency, and coverage completeness
• Flag stale data, misinterpreted metrics, flawed valuation logic, or missing contextual factors
• Evaluate multi-company comparative analyses and sector-level assessments for methodological soundness

Requirements

• Professional experience in public equities research, portfolio management, or related buy-side/sell-side roles (hedge fund, asset management, equity research, or investment banking)
• Strong command of fundamental analysis: financial statement interpretation, DCF modelling, comparable company analysis, and earnings-driven forecasting
• Ability to critically assess investment theses and deliver clear, actionable written feedback
• Comfort reviewing structured research documents in Markdown or PDF format
• Precise, analytical, and constructive written communication skills

Nice to Have

• CFA designation or active progress toward it
• Experience building or evaluating quantitative research tools or systematic strategies
• Familiarity with AI/LLM capabilities and limitations in financial research contexts
• Multi-sector coverage experience beyond technology

Why Join

• Shape the quality standard for a frontier AI system operating at institutional research levels
• Collaborate with engineers and AI researchers building multi-agent financial analysis systems
• Directly influence how AI-generated equity research is validated and improved
• Join a global network of senior finance professionals advancing AI-assisted investment research