Mercor is hiring Quantitative Traders on behalf of a leading AI Lab building the next generation of intelligent systems for algorithmic and high-frequency trading (HFT). This is a unique opportunity to collaborate with world-class AI researchers and engineers, applying your trading and quantitative expertise 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 and technical 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, optimisation, and time-series analysis. Proficiency in one or more 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 the required synchronous collaboration periods. Why Join Collaborate directly with a world-class AI research lab to train and improve models that simulate both 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. Be engaged as an hourly contractor through Mercor, giving you autonomy over your time while contributing to high-impact AI and finance projects. Work 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.
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