Quantitative Trader | $200K/year max
MercorGermany17 hours ago
Full-timeRemote FriendlyEducation
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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: AI Tutor – Quantitative Finance Specialist
Type: Full-time
Compensation: $90,000–$200,000/year
Location: Palo Alto, CA (in-office, 5 days per week) or Remote
Commitment: 40 hours/week
Role Responsibilities
Must-Have
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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: AI Tutor – Quantitative Finance Specialist
Type: Full-time
Compensation: $90,000–$200,000/year
Location: Palo Alto, CA (in-office, 5 days per week) or Remote
Commitment: 40 hours/week
Role Responsibilities
- Use proprietary tools to label, annotate, and evaluate AI-generated financial data.
- Contribute expert input across quantitative finance topics, including algorithmic trading, derivatives, and portfolio management.
- Collaborate with technical teams to refine data workflows and annotation systems.
- Analyze and critique AI-generated financial outputs to improve reasoning and accuracy.
- Create and evaluate challenging problems in financial modeling, backtesting, and quantitative analysis.
- Interpret evolving task instructions and apply sound professional judgment.
Must-Have
- Master’s or PhD in Quantitative Finance, Financial Engineering, Financial Mathematics, Applied Mathematics, Statistics, or Economics with a quantitative focus.
- Proficiency in both formal and informal English communication.
- Strong research and analytical skills with experience using financial databases and resources (e.g., Bloomberg, Reuters, SEC filings).
- Excellent organizational, interpersonal, and critical-thinking abilities.
- Independent problem-solver with attention to precision and detail.
- Passion for innovation and technology within quantitative finance.
- Professional experience as a quantitative trader, researcher, or analyst.
- Published work in reputable finance or economics journals.
- Familiarity with Python, R, or machine learning libraries (e.g., QuantLib).
- Teaching or mentoring experience in finance, statistics, or applied mathematics.
- Professional certifications such as FRM, CQF, PRM, CAIA, or CFA.
- Competitive pay ranging from $90,000 to $200,000 annually for U.S.-based professionals, depending on experience and location.
- For international candidates, compensation ranges are available upon request.
- Access to medical benefits, subject to your country of residence.
- Submit your resume.
- Complete a 20-minute introductory interview.
- Selected candidates will move on to a focused quantitative finance data evaluation exercise.
- Finalists will participate in a team discussion and review of their expertise.
- The full process typically concludes within one week.
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
- For any help or support, reach out to: [email protected]
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Key Skills
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