Quantitative Finance Expert
Mercor Β· 100% remote Β· Contract Β· Posted
- Pay
- $150/hr
- Location
- Worldwide
- Languages
- English
- Hours
- 10-20 hours per week
- Openings
- Not listed
- Level
- Expert
Summary
Compare two AI-generated responses to quantitative finance prompts, decide which is better, and explain the reasoning in writing, citing methodological soundness and correctness.
What you'll do
- Compare two AI-generated responses to the same finance prompt and decide which is better
- Read each model's reasoning or thought process to inform judgment
- Explain why one output outperforms the other, citing methodological soundness, correctness, and quality of quantitative reasoning
- Provide written feedback for the research team to improve model behavior
- Participate in onboarding and specialty calibration sessions
Requirements
- Have 2+ years of professional experience in quantitative finance (hedge fund, quant trading, derivatives, risk, or equity research)
- Hold an advanced degree (MS/PhD) in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, or Economics, or equivalent industry experience
- Program in Python using NumPy/pandas for modeling and analysis
- Demonstrate excellent written communication with high attention to detail
Skills
- Quantitative Finance
- Derivatives Pricing
- Statistical Analysis
- Python
- NumPy/Pandas
Full description
About the Role
Mercor is partnering with a leading AI research lab to train frontier models on rigorous quantitative reasoning. We're hiring Quantitative Finance Experts to evaluate and compare model outputs on challenging finance problems, helping shape how the next generation of AI reasons about markets, derivatives, and risk.
Your experience in quantitative modeling, derivatives pricing, and statistical analysis will ensure each evaluation is accurate, precise, and grounded in real-world financial reasoning.
What You'll Do
Compare two AI-generated responses to the same prompt and decide which one is better
Work from the provided input files and read each model's reasoning / thought process to inform your judgment
Clearly explain why one output outperforms the other, citing methodological soundness, correctness, and quality of quantitative reasoning
Provide written feedback the research team uses to improve model behavior
Participate in onboarding and specialty calibration sessions
You're a Good Fit If You
Have 2+ years of professional experience in quantitative finance (hedge fund, quant trading, derivatives, risk, or equity research)
Hold an advanced degree (MS/PhD) in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, or Economics - or equivalent industry experience
Are comfortable programming in Python (NumPy/pandas) for modeling and analysis
Demonstrate excellent written communication with high attention to detail
Role Highlights
Flexible workload: 10β20 hours per week
Role starts immediately; applications reviewed on a rolling basis
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