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Jobs or company...

AI/ML Bitcoin Trading Strategist

Salary undisclosed
Checking job availability...
Original
Simplified

We are looking for a highly skilled AI/ML Research Developer with deep expertise in financial market analysis, technical analysis, and pattern detection. The ideal candidate should have extensive knowledge of trading patterns, market structures, and indicators, combined with strong AI/ML capabilities. This role focuses on designing, optimizing, and backtesting pattern detection strategies, leveraging real-time market data for enhanced trading insights.

This is a fully remote role offering flexibility and the opportunity to work on cutting-edge AI/ML applications in financial markets.

Key Qualifications (If you don’t have, please do not apply - you will be rejected)

1. Financial Market & Trading Knowledge

  • Strong expertise in technical analysis, market structure, and trading indicators.
  • Deep understanding of price action, volume analysis, order flow, and trading strategies.
  • Knowledge of market microstructure, liquidity, and high-frequency trading concepts.

2. AI/ML & Time-Series Modelling

  • Proficiency in Machine Learning & AI for financial time-series forecasting.
  • Experience with Deep Learning (LSTMs, CNNs), ARIMA, and other statistical models.
  • Strong skills in feature engineering for financial datasets.

3. Software Development & Data Engineering

  • Strong Python skills with experience in Pandas, NumPy, SciPy, and Matplotlib.
  • Experience working with real-time data processing using Kafka, WebSockets, or Redis.
  • Knowledge of cloud computing (AWS, GCP, or Azure) and containerized environments (Docker, Kubernetes).

4. Backtesting & Trading Strategy Development

  • Experience with backtesting frameworks (Backtrader, Zipline, QuantConnect).
  • Knowledge of performance evaluation metrics for trading strategies.

Key Responsibilities:

1. Financial Market Analysis & Technical Pattern Detection

  • Design and implement advanced financial pattern detection algorithms for market analysis.
  • Deep expertise in technical indicators and chart patterns
  • Analyse market structures using price action, volume, support & resistance, and breakout strategies.
  • Develop models that detect and validate market trends using historical and real-time data.

2. Backtesting & Strategy Development

  • Build and maintain a robust backtesting framework to validate trading strategies.
  • Evaluate strategy performance using risk management models, Sharpe ratio, drawdowns, and profitability metrics.
  • Optimize detection techniques to reduce false signals and improve accuracy.

3. Real-Time Market Data Processing

  • Work with real-time data streams from major crypto exchanges (Binance, Bybit, Kucoin…).
  • Develop scalable real-time market data pipelines using Kafka, WebSockets, and Redis.
  • Process high-frequency market data for instantaneous trading signal detection.

4. AI/ML Model Development & Financial Forecasting

  • Develop AI/ML models for financial time-series analysis, trend prediction, and pattern classification.
  • Implement forecasting models like ARIMA, LSTMs, and Transformers for financial market predictions.
  • Optimize ML models to ensure low-latency, high-accuracy trading predictions.

5. Software Development & API Integration

  • Develop financial analytics tools using Python (Pandas, NumPy, SciPy, Matplotlib, Seaborn).
  • Integrate AI/ML models with trading platforms via REST APIs, WebSockets, and databases.
  • Work with cloud-based solutions (AWS, GCP, Azure) for scalable model deployment.

6. Research & Innovation in Financial AI/ML

  • Stay updated with new trends in algorithmic trading, AI/ML, and financial markets.
  • Experiment with Generative AI and reinforcement learning for financial strategy enhancement.

Work Environment & Benefits:

  • Remote & Flexible Work – Work from anywhere while collaborating with a dynamic team.
  • Cutting-Edge AI/ML Projects – Work on state-of-the-art AI/ML applications in financial markets.
  • Competitive Compensation – Attractive salary based on experience & expertise.
  • Performance-Based Bonuses – Incentives tied to project success & contributions.
  • Continuous Learning & Growth – Access to training, certifications, and research opportunities.
  • Innovative & Collaborative Culture – Work with top-tier professionals in AI/ML-driven financial research.

Why Join Us?

If you are passionate about financial markets, technical analysis, and AI/ML, and want to work on cutting-edge projects in pattern detection, backtesting, and real-time trading systems, this is the perfect opportunity for you!

We are looking for a highly skilled AI/ML Research Developer with deep expertise in financial market analysis, technical analysis, and pattern detection. The ideal candidate should have extensive knowledge of trading patterns, market structures, and indicators, combined with strong AI/ML capabilities. This role focuses on designing, optimizing, and backtesting pattern detection strategies, leveraging real-time market data for enhanced trading insights.

This is a fully remote role offering flexibility and the opportunity to work on cutting-edge AI/ML applications in financial markets.

Key Qualifications (If you don’t have, please do not apply - you will be rejected)

1. Financial Market & Trading Knowledge

  • Strong expertise in technical analysis, market structure, and trading indicators.
  • Deep understanding of price action, volume analysis, order flow, and trading strategies.
  • Knowledge of market microstructure, liquidity, and high-frequency trading concepts.

2. AI/ML & Time-Series Modelling

  • Proficiency in Machine Learning & AI for financial time-series forecasting.
  • Experience with Deep Learning (LSTMs, CNNs), ARIMA, and other statistical models.
  • Strong skills in feature engineering for financial datasets.

3. Software Development & Data Engineering

  • Strong Python skills with experience in Pandas, NumPy, SciPy, and Matplotlib.
  • Experience working with real-time data processing using Kafka, WebSockets, or Redis.
  • Knowledge of cloud computing (AWS, GCP, or Azure) and containerized environments (Docker, Kubernetes).

4. Backtesting & Trading Strategy Development

  • Experience with backtesting frameworks (Backtrader, Zipline, QuantConnect).
  • Knowledge of performance evaluation metrics for trading strategies.

Key Responsibilities:

1. Financial Market Analysis & Technical Pattern Detection

  • Design and implement advanced financial pattern detection algorithms for market analysis.
  • Deep expertise in technical indicators and chart patterns
  • Analyse market structures using price action, volume, support & resistance, and breakout strategies.
  • Develop models that detect and validate market trends using historical and real-time data.

2. Backtesting & Strategy Development

  • Build and maintain a robust backtesting framework to validate trading strategies.
  • Evaluate strategy performance using risk management models, Sharpe ratio, drawdowns, and profitability metrics.
  • Optimize detection techniques to reduce false signals and improve accuracy.

3. Real-Time Market Data Processing

  • Work with real-time data streams from major crypto exchanges (Binance, Bybit, Kucoin…).
  • Develop scalable real-time market data pipelines using Kafka, WebSockets, and Redis.
  • Process high-frequency market data for instantaneous trading signal detection.

4. AI/ML Model Development & Financial Forecasting

  • Develop AI/ML models for financial time-series analysis, trend prediction, and pattern classification.
  • Implement forecasting models like ARIMA, LSTMs, and Transformers for financial market predictions.
  • Optimize ML models to ensure low-latency, high-accuracy trading predictions.

5. Software Development & API Integration

  • Develop financial analytics tools using Python (Pandas, NumPy, SciPy, Matplotlib, Seaborn).
  • Integrate AI/ML models with trading platforms via REST APIs, WebSockets, and databases.
  • Work with cloud-based solutions (AWS, GCP, Azure) for scalable model deployment.

6. Research & Innovation in Financial AI/ML

  • Stay updated with new trends in algorithmic trading, AI/ML, and financial markets.
  • Experiment with Generative AI and reinforcement learning for financial strategy enhancement.

Work Environment & Benefits:

  • Remote & Flexible Work – Work from anywhere while collaborating with a dynamic team.
  • Cutting-Edge AI/ML Projects – Work on state-of-the-art AI/ML applications in financial markets.
  • Competitive Compensation – Attractive salary based on experience & expertise.
  • Performance-Based Bonuses – Incentives tied to project success & contributions.
  • Continuous Learning & Growth – Access to training, certifications, and research opportunities.
  • Innovative & Collaborative Culture – Work with top-tier professionals in AI/ML-driven financial research.

Why Join Us?

If you are passionate about financial markets, technical analysis, and AI/ML, and want to work on cutting-edge projects in pattern detection, backtesting, and real-time trading systems, this is the perfect opportunity for you!