Python Developer (Algo Trading, Pandas, NumPy, Backtesting Frameworks)

We are looking for an experienced Python Developer to join our team working with financial systems and the development of algorithmic trading strategies. Key responsibilities include creating, adapting, and optimizing trading indicators, implementing strategies, and integrating with trading platforms and APIs.

Tech Stack:

• Languages: Python 3.x
• Libraries: Pandas, NumPy
• Frameworks: Freqtrade, Backtrader, Zipline or other backtesting systems
• Integration: CCXT, Binance API, Bybit API, etc
• Databases (optional): PostgreSQL, MongoDB, InfluxDB
• Bonus skills: WebSocket, Python performance optimization

Requirements:

• 2+ years of Python development experience
• Understanding of technical indicators (RSI, EMA, Bollinger Bands, etc.)
• Experience working with financial data and time series
• Ability to develop, adapt, and optimize trading strategies
• Solid Git/version control skills
• Willingness to learn new frameworks and tools in the algo trading space

Nice to Have:

• Experience with CCXT or direct integration with Binance / Bybit
• Performance optimization (Numba, multiprocessing)
• Knowledge of other programming languages
• Understanding of risk management principles
• Building backtesting/live trading pipelines
• Experience with real-time WebSocket data streams
• Docker expertise
•  

Responsibilities:

• Develop and adapt trading indicators into trading strategies.
• Rapidly implement new trading strategies based on descriptions and diagrams.
• Learn and work with various trading frameworks and integrate strategies with trading platforms.
• Refactor and rewrite existing code from other languages into Python.
• Write custom trading libraries and frameworks.
• Optimize Python code performance to ensure fast market data processing and timely trading decisions.
• Test and debug trading strategies.

What We Offer:

• Involvement in an exciting, innovative algo trading project
• A team of professionals with real market experience
• Architectural ownership and flexibility in tool selection
• Competitive compensation + performance-based bonuses
• Opportunity to grow in the field of financial technology
• Access to modern trading platforms and market data