Quantitative Trader at Mercor

Quantitative Trader | $150–300/hr | Worldwide Remote

Join a leading AI Lab building next-generation intelligent systems for algorithmic and high-frequency trading. Collaborate with world-class AI researchers and engineers to train, evaluate, and refine cutting-edge AI models for real-world, high-speed market applications.

Responsibilities

• Collaborate with AI researchers to design, train, and validate trading algorithms and quantitative models, including high-frequency trading strategies
• Apply advanced mathematical, statistical, and computational methods to improve model stability, execution accuracy, latency performance, and market adaptability
• Evaluate and refine algorithmic trading frameworks to ensure robustness and profitability across multiple asset classes, exchanges, and time horizons
• Contribute to the training and fine-tuning of AI systems, ensuring they capture realistic market dynamics, order book behavior, and risk management strategies specific to high-frequency environments
• Participate in synchronous collaboration sessions (4-hour windows, 2–3 times per week) to review trading simulations, debug models, and exchange quantitative insights

Requirements

• Strong academic or professional background in Applied Mathematics, Statistics, Computer Science, Physics, Finance, or Quantitative Trading
• Deep understanding of market microstructure, high-frequency trading systems, probability, optimization, and time-series analysis
• Proficiency in programming languages commonly used in quantitative and HFT environments (Python, C++, Julia, R, or Rust)
• Experience with simulation systems, trading infrastructure, latency optimization, or machine learning models is a strong plus
• Excellent analytical reasoning, communication, and collaboration skills
• Ability to commit to 20–30 hours per week, including required synchronous collaboration periods

Why Join

• Collaborate directly with a world-class AI research lab to train and improve models that simulate traditional and high-frequency trading dynamics
• Play a key role in shaping how AI systems understand and execute quantitative trading strategies in fast-moving, high-volume market conditions
• Enjoy schedule flexibility—choose your own 4-hour collaboration windows and manage your 20–30 hour work week around them
• Work as an hourly contractor through Mercor with autonomy over your time while contributing to high-impact AI and finance projects
• Collaborate with elite researchers, traders, and engineers advancing the frontier of algorithmic intelligence, market prediction, and execution optimization
• Join a global network of experts driving the evolution of financial AI through quantitative innovation, speed, and precision