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, 2ā3 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 **20ā30 hours per week**, including the required synchronous collaboration periods.
ā¢ * *
### **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
ā¢ * *
### **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, 2ā3 times per week) to review trading simulations, debug models, and exchange quantitative and technical insights.
ā¢ * *
### **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 **20ā30 hours per week**, including the required synchronous collaboration periods.
ā¢ * *
### **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