Remote | Equity research Expert — $175–$300/hour
About The Position
24-MAG LLC is offering a part-time, fully remote independent contractor consulting engagement for experienced equity research professionals. The expert will contribute real-world equity research expertise to an advanced AI training and financial analysis project by reviewing datasets and analytical workflows involving company models, earnings analysis, valuation, investment theses, and sector research. The work is intended to help AI systems learn high-quality financial reasoning, accurate modelling, and professional research standards; prior AI experience is not required. The engagement involves equity research analysis, financial modelling, earnings review, peer benchmarking, valuation assessment, investment thesis development, and research quality evaluation. Project scope, workload, timing, and duration may evolve with project requirements. Compensation is $175–$300 per hour. Work must not use confidential or proprietary information belonging to any employer, client, institution, company, or other third party.
Requirements
- Extensive professional experience in equity research, particularly as a sell-side Research Associate, publishing Research Analyst, VP, Director, or comparable role.
- Direct ownership of company financial models and written research.
- Track record of independently covering multiple companies across several earnings cycles.
- Strong expertise in financial modelling, earnings analysis, peer benchmarking, and valuation.
- Ability to connect business drivers with financial outcomes and investment implications.
- Deep specialist expertise in at least one sector, such as banking, insurance, biotechnology, or another industry vertical.
- Experience developing, defending, and updating investment theses.
- Strong understanding of company catalysts, sector trends, and fundamental research methodologies.
- Exceptional written and verbal communication skills.
- Strong analytical judgement and attention to research accuracy and quality.
- Ability to communicate complex financial concepts clearly to professional audiences.
Nice To Haves
- No prior experience in AI research or model training is required.
Responsibilities
- Review, assess, and contribute to datasets representing real-world equity research workflows.
- Analyse company performance, earnings reports, estimate revisions, and operating trends.
- Evaluate revenue, margin, cash flow, and valuation drivers within company models.
- Apply fundamental research principles when assessing company and sector performance, ensuring analysis is accurate and grounded in professional standards.
- Analyse quarterly and annual earnings results and identify material changes in company performance.
- Review estimate revisions and evaluate implications for valuation and investment outlook.
- Conduct peer benchmarking across relevant companies and industry groups.
- Identify sector-specific metrics, operating indicators, and comparative performance measures.
- Produce concise event-driven analysis based on earnings releases, company developments, and market catalysts.
- Develop investment theses combining qualitative and quantitative analysis, connecting business drivers, financial performance, competitive positioning, and valuation.
- Evaluate company models, identify assumptions that materially affect investment conclusions, and assess whether valuation outputs reflect underlying fundamentals.
- Identify company catalysts, risks, and industry trends relevant to investment decisions.
- Produce clear, concise written research summaries and analytical updates.
- Review financial research content for accuracy, logic, completeness, and professional relevance.
- Explain complex financial conclusions and model assumptions clearly.
- Provide detailed feedback on data quality, analytical reasoning, and research-related content.
- Collaborate with project stakeholders to improve financial datasets and evaluation standards.
- Complete work without using confidential or proprietary third-party information.
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What This Job Offers
Job Type
Part-time
Career Level
Senior
Education Level
No Education Listed
