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. - 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. Apply tot his job