Remote Equity Research Expert: Earnings Analysis & Insights

YO AI Labs; Eindhoven; Remote; EUR 53,000 - 79,000; Part time

Job summary

YO AI Labs is seeking an Equity Research Expert for a remote contractor role. The candidate will contribute to a customer project focused on advanced financial analysis, modeling, earnings analysis, and sector insights.

No prior AI experience is required, but extensive equity research background and strong communication skills are essential. The role involves reviewing datasets, analyzing earnings, benchmarking against peers, evaluating financial models, and developing investment theses across

Qualifications

• Extensive experience in equity research roles such as Sell-Side Research Associate, Research Analyst, VP, or Director.
• Experience covering multiple companies across earnings cycles.
• Strong understanding of business drivers, financial performance, and valuation.
• Deep expertise in at least one sector (e.g., banking, insurance, biotech, technology).

Responsibilities

• Review and evaluate equity research datasets for accuracy and relevance.
• Analyze earnings reports, estimate revisions, and peer benchmarking.
• Evaluate company financial models, including revenue, margins, cash flow, and valuation drivers.
• Prepare concise research summaries and event-driven updates.
• Develop and articulate investment theses using quantitative and qualitative analysis.
• Identify industry trends, sector-specific metrics, and company catalysts.
• Provide feedback to improve the quality and accuracy of research-related content.

Skills

Sell-Side research ownership

Job description

YO AI Labs is seeking an Equity Research Expert for a remote contractor role. The candidate will contribute to a customer project focused on advanced financial analysis, modeling, earnings analysis, and sector insights.

No prior AI experience is required, but extensive equity research background and strong communication skills are essential. The role involves reviewing datasets, analyzing earnings, benchmarking against peers, evaluating financial models, and developing investment theses across