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Quant Trader
2 weeks ago
Research, backtest, and trade systematic strategies across asset classes. Build robust data pipelines, feature engineering, and ML models (tree ensembles, linear models, deep learning where justified). Use GenAI to accelerate research notes, code scaffolding, and experiment tracking; maintain strict risk limits and compliance.
Strategy research with rigorous validation
Backtesting with transaction costs/slippage
Python (NumPy/Pandas) and ML (sklearn/torch)
Risk management and monitoring
GenAI for research acceleration and doc hygiene.