● Derivatives & Volatility Expertise: Hands-on experience with derivatives pricing (options, perps), raw volatility modeling, and surface calibration.
● Model Validation Background: Strong track record in model risk, backtesting, and stress testing within quantitative finance or trading environments.
● First-Principles Mindset: Ability to deconstruct crypto market mechanics from first principles rather than relying strictly on legacy TradFi assumptions.
● Research Capability: Ability to quickly digest and code complex formulas from technical research papers.
● Technical Skills: Advanced proficiency in Python (NumPy, SciPy, Pandas) or C++ for quantitative prototyping and analysis. ● Education: Master’s or Ph.D. in Financial Engineering, Quantitative Finance, Mathematics, Physics, or a related field.
● Domain Knowledge: Strong understanding of crypto market microstructure, funding rates, and tokenized equity/RWA assets.