Data Scientist - Flex Trading Strategy Development (f/m/d)
Tasks
- Adapt to local market rules and grid codes
- Backtest strategies against real profit and loss
- Build asset availability models
- Build imbalance signal models
- Build price forecasting models
- Collaborate with traders on hypothesis validation
- Communicate insights to technical and non-technical stakeholders
- Create trading strategy roadmap
- Design data pipelines for real time and historical data
- Detect model drift and anomalies
- Develop quantitative trading strategies
- Identify market spread signals
- Implement feedback loops for continuous improvement
- Monitor live strategy performance
- Optimize model features iteratively
- Scale strategies across geographies and asset classes
- Stay current with machine learning and optimization methods
- Translate model outputs into trading recommendations
Perks/Benefits
Skills/Tech-stack
Asset Scheduling | Bayesian Methods | Data pipeline | Deep learning | Energy Trading | Integer linear programming | LSTM | LightGBM | Linear Programming | Machine Learning | Mixed Integer | Mixed-Integer Linear Programming | NumPy | Optimization | Pandas | Price Forecasting | Python | Reinforcement Learning | SQL | Scikit-learn | Series forecasting | Stochastic Optimization | Time Series | Time Series Deep Learning | Time Series Forecasting | Transformer | XGBoost
Education
Roles
Regions
Countries
States
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