Options Quant Researcher
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Were looking for a Quant Researcher with hands-on experience applying volatility models in live trading in TradFi markets.
We expect the candidate to:
- Have practical experience calibrating volatility surfaces on real market data
- Including handling gaps latency issues and so on to effectively use realistic data available in the market
- MFTish research is must. HFT is nice to have.
- Understand how to enforce smoothness arbitrage-free conditions and temporal stability
- Be able to tune and debug models under realistic market conditions including bid/ask spreads noise and incomplete markets
- Design and implement logic for position-driven dynamic surface shaping including:
- How current portfolio Greeks (vega gamma skew) should influence surface parameters such as skew curvature and wing behavior
- Hands-on experience is required for dynamically adapting surface shape based on current exposure
- Ability to identify model and mitigate residual noise in implied volatility surfaces especially:
- near expiry
- around illiquid strikes
- or in event-driven conditions.
Qualifications :
- Python (mandatory) with strong use of NumPy pandas matplotlib SciPy and relevant optimization/ML libraries
- Familiarity with standard quant libraries (QuantLib or custom volatility tools)
- PyTorch / TensorFlow experience (strongly preferred)
- 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
- Working (not just academic) experience applying ML/DL models (e.g. PyTorch TensorFlow) 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 :
What we offer:
Experience a modern international technology company without the burden of bureaucracy.
Collaborate with industry-leading professionals including former employees of Tower DRW Broadridge Credit Suisse and more.
Enjoy excellent opportunities for professional growth and self-realization.
Work remotely from anywhere in the world with a flexible schedule.
Receive compensation for health insurance sports activities and non-professional training.
Remote Work :
Yes
Employment Type :
Full-time
Experience: years
Vacancy: 1