ML Engineer - Systematic Equity Desk

Paragon are working with a leading multi-strategy hedge fund platform, a senior portfolio manager is scaling their desk and will be hiring an elite Machine Learning Engineer. This role will sit within a systematic equities team in New York that is building and deploying ML-driven trading signals for intraday strategies. The role focuses on developing production-grade models using LightGBM, XGBoost, and CatBoost, designing end-to-end ML pipelines, engineering features from market microstructure data, and partnering closely with quantitative researchers and portfolio managers to bring models into live trading. We're particularly interested in candidates with strong Python skills, experience deploying ML models in production, and expertise in financial time-series validation and model optimization. Exposure to market microstructure, alpha research, or systematic trading strategies would be highly valued. The position offers direct impact on investment decisions within a newly formed quantitative pod and significant ownership across the entire ML lifecycle. #J-18808-Ljbffr Paragon Alpha - Hedge Fund Talent Business