A proprietary trading firm is looking for a Machine Learning Engineer with a strong research orientation to join their equities trading team. This is a hybrid role sitting at the intersection of applied ML research and production engineering - you'll design, prototype, and deploy models that drive alpha generation, execution, and signal research across US and global equities markets.
- Research, prototype, and productionize ML/statistical models for alpha signals, market microstructure, and execution strategies in equities.
- Partner with quantitative researchers and traders to translate research ideas into robust, low-latency production systems.
- Build and maintain scalable data pipelines, feature stores, and backtesting frameworks for large-scale market and alternative data.
- Explore modern ML techniques (deep learning, reinforcement learning, time-series modeling, NLP on alt-data) and evaluate their applicability to trading problems.
- Own the full model lifecycle: research → backtest → deployment → monitoring → iteration.
Job ID PR/598798
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