Want to get hired at Crossing Hurdles?

Equity Research Analyst

Crossing Hurdles

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Original Job Summary

Overview

The Equity Research Analyst role at Crossing Hurdles involves evaluating investment outputs from AI systems to ensure quality, accuracy, and business alignment.

Responsibilities

  • Evaluate investment-related outputs produced by AI systems.
  • Calibrate AI decision-making in valuation modeling and portfolio analysis.
  • Conduct financial forecasting, risk assessment, and scenario planning.

Requirements

  • Background in investment banking, private equity, asset management or equity research.
  • Bachelor’s degree in Finance, Economics, Business Administration, or related field. Advanced degrees or certifications are a plus.
  • Proficiency in financial modeling, market analysis, and portfolio construction.
  • Strong analytical, critical thinking, written, and presentation skills.

Application Process

  • Upload your resume.
  • Participate in a 15-minute AI interview based on your resume.
  • Submit the form.

Key skills/competency

Equity Research, Investment Analysis, Financial Modeling, Valuation, Portfolio Analysis, Risk Assessment, AI Calibration, Scenario Planning, Analytical Skills, Presentation Skills

How to Get Hired at Crossing Hurdles

🎯 Tips for Getting Hired

  • Customize your resume: Highlight relevant investment and financial modeling experience.
  • Research Crossing Hurdles: Understand their recruitment approach and partners.
  • Prepare for AI interviews: Practice concise career stories and technical examples.
  • Showcase analytical skills: Include results from previous equity research roles.

📝 Interview Preparation Advice

Technical Preparation

Review financial modeling techniques.
Study AI output evaluation methods.
Practice valuation and portfolio analysis.
Refresh risk assessment and forecasting skills.

Behavioral Questions

Describe a challenge overcoming investment hurdles.
Explain your teamwork in stressful conditions.
Share time management strategies under deadlines.
Discuss learning from feedback in complex projects.