Quantitative Trader - Exotics Quant

Who We Are

At OKX, we are visionary believers in the transformative power of technology. Since our establishment in 2017, we have been reshaping global systems through innovative digital asset exchange platforms, Web3 portals, and blockchain ecosystems. Our extensive range of cutting-edge products and solutions is geared towards revolutionizing the financial landscape and empowering individuals worldwide to explore the realm of Web3. With over 50 million users spanning 180 countries, OKX is committed to driving financial inclusivity through blockchain technology and decentralized finance.

We pride ourselves on innovation, social responsibility, and diversity. Our team of 3,000+ employees globally is dedicated to creating long-term industry value by embracing a culture of inclusion and collaboration. Join us in shaping the future!

About the Opportunity

We are a rapidly growing digital asset trading firm in search of an Exotic Derivatives Pricing Quant to collaborate with our traders in building proprietary analytics libraries. Our firm operates across major cryptocurrency exchanges, trading various products from spot to structural derivatives. With a tech-focused environment comprising talents from renowned financial institutions and tech giants, we are at the forefront of the industry.

Responsibilities

• Collaborate with senior Quants and Traders to deploy analytics libraries for pricing exotic cryptocurrency derivatives
• Develop and enhance pricing models leveraging GPU acceleration
• Utilize Python libraries like NumPy, SciPy, Pandas, TensorFlow, PyTorch, CuPy, etc., for data analysis and numerical computations
• Calibrate volatility models using listed options data
• Ensure seamless integration of quant library into live pricing and risk management systems

Requirements

• Academic background in quantitative fields, preferably with an MSc/PhD in Math/Physics/Financial Engineering/Computer Science
• Profound knowledge of advanced probability theory and stochastic calculus
• Proficiency in GPU programming and frameworks such as CUDA, CuPy, JAX, TensorFlow, PyTorch
• Experience in Monte Carlo Methods, PDE solvers, and lattice methods
• Familiarity with stochastic volatility models/jump-diffusion models is advantageous

Perks & Benefits

• Competitive total compensation package
• Learning & Development programs and Education subsidy
• Team building activities and company events
• Wellness and meal allowances
• Comprehensive healthcare coverage for employees and dependents
• More perks to be discussed during the recruitment process