Informacje o stanowisku

technologies-expected :

• Python
• Pandas

• We are seeking for an experienced Quant Engineer (Remote) to design, implement and optimize profitable trading strategies using Python and platforms like Freqtrade.

• Data Infrastructure: Build pipelines to collect, clean and store historical and real-time crypto market data from multiple exchanges
• Strategy Validation: Translate trading ideas into mathematical models and test them rigorously using statistical methods
• Backtesting & Optimization: Design robust backtesting systems that account for real-world constraints (fees, slippage, execution) and avoid overfitting
• System Development: Build technical indicators and implement proven strategies in production-ready code
• Live Trading Automation: Integrate with exchange APIs, set up automated execution with proper error handling and safety controls
• Performance & Risk Management: Monitor live strategy performance, analyze results, and optimize based on data

• Strong Python skills (pandas, numpy, statistical libraries)
• Experience building data pipelines and working with time-series data
• Understanding of quantitative methods and backtesting best practices
• Familiarity with trading platforms (Freqtrade, Backtrader) or custom framework development
• Knowledge of statistical analysis, hypothesis testing, and avoiding common pitfalls (look-ahead bias, overfitting)
• Experience with exchange APIs (Binance, Kraken, etc.)
• Machine learning skills are a plus
• Skeptical, analytical mindset - comfortable killing ideas that dont hold up to testing
• Proficiency in English (written and spoken)

• Remote job offer
• Private healthcare
• Employment contract, mandate contract, B2B
• 30 days of annual leave (depends on contract type)
• Teamevents & workshops

• private medical care
• remote work opportunities
• Multisport card

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