
Quantitative Researcher - Option
at Binance
Posted 15 hours ago
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- Compensation
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** Quantitative Researcher - Option (Binance)**: - Responsible for options pricing, risk management, and agency trading strategies. - Develop and maintain options valuation models, volatility surface modeling, Greeks calculation, and exotic option pricing frameworks. - Research implied volatility dynamics, volatility arbitrage, and options market microstructure in traditional and crypto markets. - Collaborate with development teams to implement strategies and new products. - Required skills: C++, Python, Finance-related packages (QuantLib, Sula, etc.), Options pricing models (Black-Scholes, locally & stochastic volatility models), and crypto markets understanding. - 3+ years of relevant experience in quantitative research, finance, or related fields.
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
