Job Description
Job Description
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
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Collaborate with AI researchers to design, train, and validate trading algorithms and quantitative models, including high-frequency trading strategies.
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Apply advanced mathematical, statistical, and computational methods to improve model stability, execution accuracy, latency performance, and market adaptability.
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Evaluate and refine algorithmic trading frameworks to ensure robustness and profitability across multiple asset classes, exchanges, and time horizons.
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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.
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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
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Strong academic or professional background in Applied Mathematics, Statistics, Computer Science, Physics, Finance, or Quantitative Trading.
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Deep understanding of market microstructure, high-frequency trading systems, probability, optimisation, and time-series analysis.
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Proficiency in one or more programming languages commonly used in quantitative and HFT environments (Python, C++, Julia, R, or Rust).
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Experience with simulation systems, trading infrastructure, latency optimization, or machine learning models is a strong plus.
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Excellent analytical reasoning, communication, and collaboration skills.
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Ability to commit to 20–30 hours per week, including the required synchronous collaboration periods.
Why Join
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Collaborate directly with a world-class AI research lab to train and improve models that simulate both traditional and high-frequency trading dynamics.
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Play a key role in shaping how AI systems understand and execute quantitative trading strategies in fast-moving, high-volume market conditions.
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Enjoy schedule flexibility — choose your own 4-hour collaboration windows and manage your 20–30 hour work week around them.
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Be engaged as an hourly contractor through Mercor, giving you autonomy over your time while contributing to high-impact AI and finance projects.
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Work with elite researchers, traders, and engineers advancing the frontier of algorithmic intelligence, market prediction, and execution optimization.
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Join a global network of experts driving the evolution of financial AI through quantitative innovation, speed, and precision.