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Qualifications:
- Python proficiency with strong use of NumPy, pandas, matplotlib, SciPy, and relevant optimization/ML libraries.
- Familiarity with standard quant libraries like QuantLib or custom volatility tools, and experience with PyTorch or TensorFlow.
- Experience with NSE options and/or other TradFi derivatives with margin impact is a major plus.
Nice to Have:
- Familiarity with practical heuristics for surface management and working experience applying ML/DL models to this problem.
- Understanding of model explainability and risk of overfitting in execution-sensitive environments.
- Direct experience in spot/futures vs. options arbitrage.
Additional Information:
- Experience a modern international technology company without bureaucracy and collaborate with industry-leading professionals.
- Enjoy excellent opportunities for professional growth and work remotely from anywhere in the world with a flexible schedule.
- Receive compensation for health insurance, sports activities, and non-professional training.
BHFT
BHFT is a proprietary algorithmic trading firm managing the full trading cycle, covering key exchanges and trading across a broad range of asset classes. It has a team of 200+ professionals, with 70% being technical specialists, operating 100% remotely with a culture valuing clarity, transparency, and open communication.