Finance & Accounting

Quantitative Finance Expert - Derivatives - AI Trainer

Explore this opportunity from the hiring employer

Job typeOther PostedOct 14, 2026 Apply byNov 13, 2026

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About this position

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: Quantitative Finance Expert
Type: Contract
Compensation: $150/hour
Location: Remote
Commitment: 10–20 hours/week

Role Responsibilities

  • Evaluate and compare AI-generated responses to finance problems to shape model reasoning.
  • Analyze model outputs using quantitative modeling, derivatives pricing, and statistical analysis.
  • Provide structured feedback to improve model behavior and outputs.
  • Collaborate with research teams to ensure methodological soundness and quality.
  • Participate in onboarding and specialty calibration sessions.

Qualifications

Must-Have

  • 2+ years of experience in quantitative finance (hedge fund, quant trading, derivatives, risk, or equity research).
  • Advanced degree (MS/PhD) in Financial Engineering, Mathematics, Statistics, Physics, or Economics.
  • Proficiency in Python (NumPy/pandas) for modeling and analysis.
  • Excellent written communication with high attention to detail.

Start Date

  • Immediately; applications reviewed on a rolling basis.

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: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.



#hiringmercor

Location and commute

Dallas, TX .

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How to apply

Review the vacancy and complete the application on the employer or recruitment partner’s website. Requisition ID: WJ-3162328770.