Remote Volatility Quant Researcher (Python/ML)

BHFT, a proprietary algorithmic trading firm, is seeking a Quant Researcher with experience in applying volatility models within TradFi markets. The successful candidate will calibrate volatility surfaces, debug models under real market conditions, and design logic for dynamic surface shaping.

The ideal candidate should have strong skills in Python and familiarity with quant libraries, including PyTorch and TensorFlow. Benefits include remote work opportunities and professional growth in a bureaucratic-free environment.