AI summary
The role involves developing investment theses, performing financial modeling and analysis, and mentoring junior contributors in equity research related to AI. Candidates should also assess AI research outputs and contribute to dataset building for financial AI models.
Job Description
About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Senior Investment Analyst (Buy-Side)
Type:Contract
Compensation:$125/hour
Location:Remote
Role Responsibilities
- Develop detailed investment theses across equities or asset classes.
- Perform advanced financial modeling and valuation analysis.
- Critically assess AI-generated research outputs and recommendations.
- Identify gaps in reasoning, assumptions, and risk evaluation.
- Contribute to building high-quality training datasets for financial AI models.
- Mentor junior contributors and provide domain expertise.
Qualifications
Must-Have
- 4–8 years of experience in equity research, hedge funds, or asset management.
- Strong track record of fundamental analysis and idea generation.
- Advanced financial modeling and valuation expertise.
- Ability to clearly articulate complex investment views.
- Experience covering specific sectors is a plus.
Preferred
- CFA charter-holder or MBA.
- Experience with alternative data or systematic strategies.
- Prior exposure to AI/ML in finance.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check:
- For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas
About the job
- Posted on
- Sep 5, 2026
- Job type
- Contract
- Location
- CanadaOn-site
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