Quantitative Trader

Our client develops and exploits a variety of technological methods, including not only classical quantitative analysis but also deep learning, based in Moscow and Barcelona.

About the Role

We are seeking a Quantitative Trader with strong mathematical and programming skills to join our high-frequency trading team. This is an exciting opportunity to dive more into algorithmic trading, working alongside experienced professionals to research, develop, and deploy strategies in fast-paced global markets.

You will collaborate with traders, data scientists, and engineers to analyze market behavior, build predictive models, and optimize real-time trading systems.

Key Responsibilities

• Research, develop, and test algorithmic trading strategies.
• Analyze large-scale market data to identify inefficiencies and patterns.
• Implement and optimize statistical/Machine Learning models for real-time trading.
• Backtest strategies using historical data and assess performance.
• Work with engineering teams to deploy models in production.
• Monitor live trading systems and refine strategies.

What We are Looking For

Must-Have:

• Bachelor’s or Master’s degree in a quantitative field (Mathematics, Statistics, Computer Science, Physics, Engineering).
• Strong programming skills in Python (knowledge of C++/C# is a plus).
• Solid foundation in probability, statistics, and machine learning.
• Experience working in HFT.
• Analytical mindset, attention to detail, and proactive problem-solving.

Nice-to-Have:

• Experience with ML frameworks (PyTorch, JAX, TensorFlow).
• Familiarity with time-series analysis and signal processing.
• Competitive math/programming Olympiad experience.

Why Join Us

• Top-tier traders, quants, and engineers.
• Exposure to cutting-edge ML applications in HFT.
• Fast-paced, merit-driven environment with direct impact.
• Competitive compensation + performance-based bonuses.