Financial and Investment Analysts

What you would do

• Evaluate AI-generated valuation models, investment recommendations, and industry analyses for analytical quality
• Compare AI responses head-to-head based on reasoning rigor, valuation soundness, and investment insight quality
• Review complex financial scenarios including valuations, capital structure, and portfolio decisions
• Provide expert feedback to improve AI-generated financial analysis and reasoning

Who they want

• 4+ years of professional roles in financial analysis, investments, equity research, or portfolio management
• Demonstrated expertise conducting quantitative analyses, valuations, and investment recommendations
• Proven ability to work on valuations for both public and private companies at professional institutions
• Availability to commit 20+ hours weekly for immediate start
• Strong written English communication skills for detailed feedback and analysis

Main skills

What the interview asks about

1. 1.Valuation model assessment

   AI systems often apply technically correct techniques to inappropriate situations or with unrealistic assumptions.

   For example: “An AI model applies a 3-stage DCF valuation to an early-stage biotech company with high regulatory risk. What specific assumptions would you scrutinize first?”

2. 2.Comparative reasoning quality evaluation

   Two analyses might reach the same conclusion but for very different reasons, and only one reflects sound financial logic.

   For example: “Two AI analyses both recommend the same stock but one uses a DCF approach and another uses peer comparison. How would you evaluate which reasoning is more robust?”

3. 3.Portfolio and risk context

   Individual investment decisions that look sound in isolation can introduce dangerous portfolio risk or concentration.

   For example: “An AI recommends a high-conviction position in a small-cap energy stock. What portfolio context questions would you ask before accepting this recommendation?”

4. 4.Assumption reasonableness in models

   Financial models are highly sensitive to long-term assumptions about growth, margins, and discount rates.

   For example: “An AI valuation assumes 5 percent perpetual growth for a mature industrial company. Explain how you'd evaluate if this assumption is defensible.”

5. 5.Capital structure and financial engineering

   Optimal capital structures depend on company-specific risk profiles and cannot be evaluated using generic rules.

   For example: “An AI suggests a capital structure change that increases leverage. What company and market factors would determine if this recommendation makes sense?”

A task you may get

Evaluate a provided AI-generated financial analysis covering valuation, investment rationale, and recommendations, documenting strengths, weaknesses, and specific improvement suggestions.

How to prepare

• Review latest developments in valuation methodologies and capital markets
• Study common AI reasoning errors in financial analysis and valuation work
• Practice articulating clear feedback on analytical quality and financial reasoning
• Refresh knowledge of quantitative models, assumptions, and sensitivity analysis

The facts

Pay

$70–110/hr

Hours

Hourly

Where

Remote

Open to

USA

Field

Finance

Posted

8/21/2026

Places left

28

We wrote this page from the public Mercor listing. It may be out of date, so read the full posting before you apply.