Job Specifications
Quantitative Traders [$150-$300/hr]
As an independent member of the referral program of a leading organization (Mercor), we are posting to seek Quantitative Traders for 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
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