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 at least 30 hours per week, with fully flexible hours — you choose when you work! • The application process is simple: upload your resume, take a short assessment quiz, fill your availability 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.