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Finance Specialist

Crossing Hurdles

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Original Job Summary

Overview

The Finance Specialist role at Crossing Hurdles involves working with the world’s leading AI research labs to evaluate and calibrate investment-related outputs produced by AI systems. This part-time, remote position is a 1-2 month hourly contract commitment (approx. 20 hours/week).

Role Responsibilities

  • Evaluate investment outputs for quality, accuracy, and business alignment.
  • Calibrate AI decision-making in valuation modeling, portfolio analysis, forecasting, risk assessment, and scenario planning.

Requirements

  • Strong experience in investment services (banking, private equity, asset management, equity research, or similar).
  • Bachelor’s degree in Finance, Economics, Business Administration or related field; advanced degrees or certifications (MBA, CFA, CPA, CAIA) are a plus.
  • Proficiency in investment analysis and financial modeling techniques including valuation, market analysis, portfolio construction, and risk-return assessment.
  • Solid understanding of investment processes and strategic decision-making frameworks.
  • Excellent analytical, critical thinking, written, and presentation skills.

Application Process

  • Upload resume.
  • Participate in a 15-minute AI interview based on your resume.
  • Submit the required form (approximately 20 minutes total).

Key skills/competency

  • Investment Analysis
  • Financial Modeling
  • Portfolio Construction
  • Risk Assessment
  • Valuation Modeling
  • Market Analysis
  • AI Calibration
  • Data Evaluation
  • Business Insight
  • Strategic Decision-making

How to Get Hired at Crossing Hurdles

🎯 Tips for Getting Hired

  • Customize Resume: Tailor to finance and AI expertise needs.
  • Highlight Certifications: Emphasize CFA, CPA, or MBA credentials.
  • Detail Experience: Focus on investment analysis and modeling skills.
  • Prepare Examples: Showcase prior investment evaluation projects.

📝 Interview Preparation Advice

Technical Preparation

Review financial modeling techniques.
Practice valuation and risk calculations.
Study portfolio analysis methods.
Familiarize with AI decision processes.

Behavioral Questions

Describe handling complex financial data.
Explain a time you resolved investment issues.
Discuss collaboration on analytical projects.
Share an experience with rapid decision-making.