🛠 Tech Stack

💼 About This Role

You'll join a world-class research team to develop predictive signals across crypto asset classes using ML and AI agents. Your work will directly impact trading strategies at the world's largest cryptocurrency exchange. This role offers a unique blend of quant finance and cutting-edge AI research.

🎯 What You'll Do

• Research and construct predictive signals using ML and AI agent workflows.
• Conduct root cause analysis for model decay, PnL attribution, and anomalies.
• Study market microstructure to improve execution and signal design.
• Build and extend internal AI agent infrastructure for research automation.

📋 Requirements

• PhD in quantitative field (CS, ML, Stats, Physics, Math, etc.).
• Strong Python skills with NumPy, pandas, PyTorch or JAX.
• Hands-on experience building AI agents and LLM-based systems.
• Solid grounding in statistics, probability, and machine learning.

✨ Nice to Have

• Prior internship or research at hedge fund, prop trading, or fintech.
• Exposure to market microstructure or high-frequency data.
• Experience with backtesting frameworks or time-series analysis.

🎁 Benefits & Perks

• 🏖️ Remote-first culture
• 💰 Competitive salary
• 📈 Learning & development
• 🌍 Global team

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Phone Interview· 60 min
3. 3On-site / Virtual Loop· 3-4 hours