Quantitative Traders
reputed company is hiring
Quantitative Traders
on behalf of a leading
AI Lab
building the reputed company 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 reputed company-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 reputed company. - 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 reputed company, 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 reputed company 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
reputed company researchers, traders, and engineers
advancing the frontier of algorithmic intelligence, market reputed company, and execution optimization. - Join a
global network of experts
driving the reputed company of financial AI through quantitative innovation, speed, and precision. Apply tot his job Apply To this Job