Finance Data Analyst | Remote

Position: Equity/Investment Research Analyst

Type: Contract

Compensation: $175 - $300/hour

Location: Remote

Commitment: 10-40 hrs/week

Role 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.

Requirements

• Have strong relevant experience as a sell-side Research Associate with direct ownership of company models and written research, or as a publishing/lead Research Analyst.
• 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.

Application Process

• Easy Apply on LinkedIn
• Check email for next steps
• Participate in resume evaluation & interview stage