Quant Developer/Algorithmic Developer-Crypto trading

Job Title: Quant Developer / Algorithmic Developer – Crypto Trading

Location: Remote / Hybrid

Type: Full-time

Experience: 3 to 7 Years

Compensation: USDT Only

We are looking for a highly skilled Quantitative Developer / Algorithmic Developer to join our team in building advanced, production-grade crypto trading systems. This role is ideal for someone who excels at the intersection of strategy development, high-performance Python programming, and system design — with a deep interest in cryptocurrency markets.

You will be responsible for developing and optimizing algorithmic trading strategies, designing robust infrastructure, integrating with exchanges, and playing a critical role in converting research ideas into actionable and scalable trading logic.

If you’re passionate about crypto markets and want to shape the next generation of intelligent trading systems, we’d love to connect.

• Design, build, and deploy crypto trading strategies across spot, futures, and derivatives.
• Translate strategy logic into efficient, high-quality Python code, with well-structured modules and reusable components.
• Work on data ingestion, labeling, and pattern recognition logic using real-time and historical market data.
• Integrate and customize machine learning/statistical models for signal generation, filtering, and risk control.
• Interface with exchange APIs (REST/WebSocket) for order placement, live market data, and account management.
• Manage data storage and retrieval using PostgreSQL, Redis, and other relevant tools.
• Optimize for latency, slippage, execution cost, and strategy robustness under varying market conditions.
• Develop and maintain FastAPI-based internal tools for monitoring, research, and strategy deployment.
• Collaborate closely with quant researchers, infra engineers, and traders to iterate on model improvements.
• Conduct post-trade analysis and continuous strategy performance evaluation.

• Strong hands-on programming experience in Python (required); additional experience with C++ is a plus.
• Solid understanding of algorithmic trading systems, including signal development, execution logic, and risk constraints.
• Experience with data engineering, especially data labeling, pattern detection, and feature pipeline construction.
• Proficiency in working with PostgreSQL, Redis, and FastAPI.
• Good knowledge of crypto exchange APIs (WebSockets & REST), order types, and real-time data handling.
• Familiarity with quantitative strategy concepts (PnL attribution, Sharpe ratio, drawdowns, position sizing).
• Ability to build clean, maintainable code with attention to detail and performance.
• Prior experience with strategy development or backtesting frameworks.
• Deep curiosity about crypto markets, with a strong drive to build practical, alpha-generating systems.

• Experience in systematic trading or algorithmic strategy implementation in crypto or traditional markets.
• Knowledge of pattern detection systems (e.g., SMC, market structure, candlestick/chart patterns).
• Exposure to machine learning models (supervised, ensemble, reinforcement learning) applied to financial data.
• Understanding of portfolio optimization, risk modeling, and capital allocation logic.