Quantitative Finance Expert

Mercor is hiring experienced Quantitative Finance professionals to join an exciting collaboration with a top AI research lab. This role involves designing, evaluating, and stress-testing advanced AI systems that mimic real-world workflows in quantitative trading, risk management, financial engineering, and high-frequency trading (HFT). You’ll help train, calibrate, and validate AI models across complex domains such as derivatives pricing, portfolio optimization, market microstructure, and algorithmic execution.

Key Responsibilities

• Evaluate outputs of AI-driven pricing, trading, and risk models for robustness, calibration, and accuracy

• Design and test simulation frameworks for derivatives valuation, portfolio construction, and market scenarios

• Audit AI-generated trading strategies, execution algorithms, and quantitative research outputs

• Provide domain-specific feedback on model assumptions, performance metrics, and financial realism

Ideal Qualifications

• 2+ years of experience in quantitative finance, trading, or financial engineering. This could include experience at top trading firms (e.g., Citadel, Jane Street, Two Sigma, DE Shaw), quant groups at investment banks, or asset managers with quantitative strategies

• Advanced degree in a quantitative discipline (e.g., Mathematics, Statistics, Computer Science, Physics, Financial Engineering, Quantitative Finance). A PhD or professional certifications (e.g., CFA, FRM) are a plus

• Strong expertise in quantitative modeling and computational finance. Proficiency in derivatives pricing, stochastic calculus, risk-neutral valuation, and statistical arbitrage

• Programming and data skills. Deep proficiency in Python, C++, or similar languages, along with strong experience in numerical libraries, time-series modeling, and high-performance computing

• Market microstructure and trading knowledge. Familiarity with order book dynamics, algorithmic execution strategies, and risk management in high-frequency and systematic trading contexts

• Excellent problem-solving, analytical, and communication skills—able to distill complex quantitative findings into clear, actionable insights

Project Timeline

• Start Date: Immediate

• Duration: 1–2 months

• Commitment: Part-time, ~20 hours/week

Application & Onboarding Process

• Upload your resume

• AI interview: A short conversation about your background, no preparation necessary!

• Work trial: A paid, 3-hour assessment evaluating your ability to interpret project guidelines and deliver quantitative finance–specific output

Apply today and leverage your quantitative finance expertise to help build the future of AI-driven financial workflows!

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Contract and Payment Terms

• You will be engaged as an independent contractor.
• This is a fully remote role that can be completed on your own schedule.
• Projects can be extended, shortened, or concluded early depending on needs and performance.
• Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution.
• Payments are weekly on Stripe or Wise based on services rendered.
• Please note: We are unable to support H1-B or STEM OPT candidates at this time.

About Mercor

Mercor partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems. You will be paid competitively, collaborate with leading researchers, and help shape the next generation of AI systems in your area of expertise.