This job post has expired on March 25, 2026. It is likely that the position has already been filled.
Expert Equities Research Reviewer at Mercor
posted 7 months agoExpert 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
How to apply for this role
- Upload your resume — keep it up-to-date and in English. Mercor will auto-fill your profile from it.
- Complete the AI interview — a 15-minute conversation about your experience. Be ready to discuss specific projects and challenges you've solved.
- Submit your application — only about 20% of applicants finish all the steps, so completing yours puts you well ahead.