Quantitative Researcher - Option

Job description

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world. ### Responsibilities - Responsible for options pricing, risk management, and agency trading strategies — ideation, design, back-testing, and implementation - Develop and maintain options valuation models, including volatility surface modeling, Greeks calculation, and exotic option pricing frameworks - Conduct research on implied volatility dynamics, volatility arbitrage, and options market microstructure in both traditional and crypto markets - Interact directly with the development team to ensure a smooth and agile implementation process into the trading platform - Participate in all the stages of the development of new products. Including: ideation, modeling, risk management and parameter tuning ### Requirements - 4+ years of experience in a quantitative researcher/analyst position, with proven experience in options pricing research and modeling - Hands-on experience with options pricing models (e.g., Black-Scholes, binomial trees, Monte Carlo, stochastic volatility models such as Heston/SABR) - Master degree or higher in mathematics/statistics or similar relevant area of study required - Proven track record of good academic achievement and great learning skills, love to solve challenging problems and work in a fast-paced environment - Familiar with at least one programming tool for analysis. Python is strongly preferred - Experience with hedge/mutual fund, trading house, brokerage or investment banks is advantageous - Familiar with trading data processing, price prediction etc is advantageous - Experience with Machine Learning algorithms is advantageous - Understanding of DEX trading is advantageous - Fluency in English is required to be able to coordinate with overseas partners and stakeholders. Additional languages would be an advantage