Quantitative Analyst

Overview

Mercor is seeking Quantitative Finance experts for a project with a leading AI research lab.

You’re a great fit if you have:

• 3+ years of experience in quantitative analysis, algorithmic trading, risk modeling, or financial engineering.
• Deep subject matter expertise in areas such as derivatives pricing, portfolio optimization, time-series analysis, and stochastic modeling.
• Proficiency with programming languages (e.g., Python, R, MATLAB) and financial libraries such as QuantLib.
• Advanced understanding of mathematical modeling, probability theory, and statistics in finance.

Education: Master’s or Doctorate in Quantitative Finance, Financial Engineering, Applied Mathematics, or relevant experience.

More details about the role:

• This project is scoped to last a minimum of 2–4 weeks, with the potential for extension.
• You will be expected to commit 20–40 hours per week, with fully flexible hours — you choose when you work!
• The application process is simple: upload your resume, take a 15-minute interview, and wait to hear back from us.

About Mercor:

• Headquartered in San Francisco, CA
• We specialize in connecting domain experts with cutting-edge AI teams.
• Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey.