Quantitative Traders

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.

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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.

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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.

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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 Apply To this Job