Python Quant Developer

Role Overview

Design, implement, and maintain algorithmic/statistical trading strategies and the supporting infrastructure — from data ingestion to execution and monitoring.
 

Responsibilities

• Develop and maintain high-frequency CEX trading strategies.
• Build exchange connectors (REST/WebSocket), data listeners, and file/TS storage.
• Implement strategy simulators/backtests; validate results.
• Develop position, order-management, and execution components.
• Own reliability, observability, and CI/CD for your services.
• Collaborate with the TL on code reviews, design, and strategy iteration.
   

What You’ll Work With

• Python for data & network processing (asyncio, numpy, websockets, REST APIs).
• Unix environments, AWS, shell scripting (bash), Git/GitHub.
• (Nice to have) pandas, scipy, Docker, Kubernetes, socat.
   

Candidate Profile (Must-Have)

• Python: familiar with data and network processing
• Real interest in crypto trading: built bots, traded on CEX/DEX; maybe simple mem-searchers.
• Strong motivation and curiosity (math/stat/CS background welcome; 3–4 year students often a fit).
• High work ethic, high code standards, team-first mindset, healthy ambition (no ego).
• Practical crypto experience and a habit of asking “why” and digging into data.
   

Growth Path

• Evolve into strategy owner and lead a small sub-team.
• Prop approach: access capital for your strategies; the more the strategy earns, the more you can scale.
• Performance-based bonus scheme may apply once a strategy is independently profitable.
   

Not Needed

• GUI/Django/JavaScript, SQL, etc.