Equity Research Expert

micro1; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

micro1 is seeking a seasoned equity research professional to contribute to datasets for advanced financial analysis, modeling, and sector insights. You will apply your domain knowledge to train AI systems, with no prior AI experience required; your research quality and financial expertise are what matter.

Responsibilities include reviewing earnings data, benchmarking insights, developing investment theses, and delivering concise written evaluations of revenue, margins, cash flow, and valuation

Qualifications

• Extensive experience in equity research with ownership of models and written notes.
• Ability to connect business drivers to financial outcomes and valuation.
• Experience covering multiple companies through earnings cycles.

Responsibilities

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

Skills

Equity research

Financial modeling

Industry analysis

Written communication

Data quality

Education

Bachelor’s degree in finance/economics

CFA/CAIA (beneficial)

Tools

Excel

Bloomberg

Power BI

Job description

micro1 is engaging Equity research Experts to contribute to a customer's project focused on advanced financial analysis, modeling, and sector insights. 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.

Scope of Work

• 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.

Preferred Qualifications

• 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.