Why This Resume Works
Top-3 II ranking and $1.8M commission revenue are the gold-standard sell-side metrics.
18 stocks, $240B market cap, and 50+ annual notes show the breadth and depth of coverage.
Commission revenue ties research directly to business value for the firm.
Section-by-Section Breakdown
Summary
Lead with sector coverage, report volume, and any industry rankings. These are the metrics that matter most.
Skills
Include client-facing skills alongside technical. Sell-side research is as much about marketing as modeling.
Experience
Show both research output (reports, models) and client engagement (meetings, conferences, revenue).
Education
Finance or economics degrees from strong programs. CFA designation is highly valued and should be listed.
Key Skills for Equity Research Analyst Resumes
Based on analysis of thousands of job postings, these are the most frequently required skills:
Common Mistakes on Equity Research Analyst Resumes
- ⚠No sector or coverage details - Name your sector, stock count, and combined market cap. Research analysts are defined by their coverage.
- ⚠Missing publication volume - Report count and frequency show productivity. Include notes, initiations, and thematic pieces.
- ⚠No client engagement metrics - Sell-side analysts generate revenue through client relationships. Show meetings, conferences, and commission impact.
- ⚠Ignoring estimate accuracy - How close your estimates land to actuals is a key differentiator. Include accuracy rates or rankings.
- ⚠Only technical, no marketing - Sell-side is part research, part sales. Show roadshows, conferences, and client-facing activities.
How to Write an Equity Research Analyst Resume That Gets Interviews
Data roles require a balance of technical skills and business impact. Your resume should show you can extract insights from data and translate them into decisions that move metrics.
Specify SQL dialects, Python libraries (pandas, scikit-learn), visualization tools (Tableau, Power BI), and statistical methods. Generic "data analysis" tells reviewers nothing.
Every analysis should end with a decision it informed or a dollar amount it influenced. "Identified $800K in optimization opportunities through cohort analysis" beats "analyzed customer data."
Modern data roles expect you to work with ETL, data warehouses, and orchestration tools. Mention dbt, Airflow, Snowflake, or BigQuery if you have used them.
Data professionals who work effectively with product, engineering, and leadership teams are more valuable. Mention stakeholder presentations and cross-team projects.
Before submitting your equity research analyst resume, check your ATS score to catch keyword gaps.