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Education & Experience

• Bachelor’s or Master’s degree in a quantitative or technical discipline (Computer Science, Math, Finance) or equivalent experience.

• 2+ years of crypto-focused or electronic trading experience, with a proven record of consistent profitability in spot markets.

Technical Skills

• Proficient in Python (preferred), R, or C++ for quantitative research and strategy implementation.

• Familiarity with SQL/NoSQL databases, data extraction methods (API, WebSocket), and real-time analytics dashboards.

• Knowledge of machine learning frameworks (PyTorch, TensorFlow) is a plus, but not strictly required.

Financial & Crypto Knowledge

• In-depth understanding of crypto spot market structures, liquidity provision, and exchange fee schedules.

• Experience dealing with multiple trading venues (centralized and/or decentralized) and bridging liquidity among them.

• Awareness of market microstructure, front-running risks, and best practices for order execution.

Soft Skills & Mindset

• Detail-oriented, disciplined approach to strategy deployment and risk management.

• Curiosity-driven mindset and eagerness to explore evolving crypto market trends.

• Excellent communication skills for presenting research findings and collaborating with team members.