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Quantitative Finance Expert - Derivatives

  • New York, NY, United States

Remote

$150 USD / hour

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Job details

Pay
$150 USD / hour
Workplace
Remote
Experience
2+ years of experience in quantitative finance (hedge fund, quant trading, derivatives, risk, or equity research).
Working hours
10–20 hours/week
Posting language
English

Original 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: 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.

More about this job

Skills

  • Research
  • Statistics
  • Financial engineering
  • Python
  • NumPy
  • pandas
  • Communication skills
  • Attention to detail

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