Quantitative Trader (HFT)

TL;DR

Quantitative Trader (HFT): Research, develop, and deploy algorithmic trading strategies using statistical and Machine Learning models with an accent on high-frequency trading and real-time market analysis. Focus on identifying market inefficiencies, backtesting strategies, and optimizing production trading systems.

Location: Hybrid in Moscow, remote worldwide, or self-relocation to Barcelona (Spain)

Salary: from $4,000 / month

Company

Develops quantitative analysis and deep learning methods for high-frequency trading, based in Moscow and Barcelona.

What you will do

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

Requirements

• B2 Upper-Intermediate English.
• Bachelor’s or Master’s in quantitative field (Mathematics, Statistics, Computer Science, Physics, Engineering).
• Strong Python programming (C++/C# is a plus).
• Solid probability, statistics, and machine learning foundation.
• Experience in HFT; 2+ years required.
• Analytical mindset and proactive problem-solving.

Nice to have

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

Culture & Benefits

• Work with top-tier traders, quants, and engineers.
• Cutting-edge ML applications in HFT.
• Fast-paced, merit-driven environment with direct impact.
• Competitive compensation + performance bonuses.