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

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.