Equity Research Expert

Xperteez Technology•,
•$175 - $300•Remote

About The Position

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Requirements

  • Equity research
  • Financial modeling
  • Earnings analysis
  • Peer benchmarking
  • Sector expertise
  • Investment thesis development
  • Written communication
  • Verbal communication
  • Data analysis
  • Valuation analysis

Nice To Haves

  • Extensive experience as a sell-side Research Associate with direct ownership of company models and written research, or as a publishing/lead Research Analyst (titles may include VP or Director).
  • Track record of independently covering multiple companies through several earnings cycles and maintaining comprehensive models.
  • Proven ability to connect business drivers to financial outcomes and valuation.
  • Demonstrated expertise in at least one sector (e.g., banks, insurance, biotech), with the ability to provide deep, specialist insights.
  • Exceptional written and verbal communication skills, capable of articulating complex financial concepts clearly.
  • History of performing granular earnings analysis, peer benchmarking, valuation, and event-driven research updates.
  • Experience formulating and defending investment theses and research views, with accountability for research accuracy and quality.

Responsibilities

  • Review, assess, and contribute to datasets modeling real-world equity research analysis, ensuring accuracy and relevance.
  • Analyze earnings reports, perform estimate revisions, and synthesize peer benchmarking insights for AI training purposes.
  • Deliver detailed written evaluations of company models, including revenue, margin, cash flow, and valuation drivers.
  • Produce high-quality, concise written research summaries and event-driven updates based on deep sector expertise.
  • Develop and articulate investment theses, connecting qualitative and quantitative factors to actionable perspectives.
  • Identify key industry trends, sector-specific metrics, and company catalysts relevant for fundamental analysis.
  • Collaborate with project stakeholders to provide feedback on data quality and enhance research-related content.
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