Who We Are
At OKX, we believe the future will be reshaped by technology. Founded in 2017, we are revolutionising world systems through our cutting-edge digital asset exchange, Web3 portal and blockchain ecosystems. We reshape the financial ecosystem by offering some of the most diverse and sophisticated products, solutions, and trading tools on the market. Trusted by more than 50 million users in over 180 countries globally, OKX empowers every individual to explore the world of Web3. With our extensive range of products and services, and unwavering commitment to innovation, OKX envisions a world of financial access backed by blockchain and the power of decentralized finance.
We are innovative in the way we think, work, and in the products we create. We are also socially responsible by actively participating and encouraging employees to take part in various public welfare activities. With more than 3,000 employees around the world, we believe embracing diversity and inclusion will spark the creation of long-term value for the industry. Come Build the Future with Us now!
About the Opportunity
A world-leading rapid growth digital asset trading firm is looking for an Exotic Derivatives Pricing Quant who will work together with traders to build the firm's in-house analytics libraries. The firm has presence in major cryptocurrency exchanges and it trades different kinds of products in the market, ranging from spot to structural products. The firm is highly tech-driven with people from tier 1 investment banks, hedge funds, and tech companies.
What You’ll Be Doing
- Work closely with senior Quants and Traders to implement analytics libraries used for the pricing of exotic and complex cryptocurrency derivatives
- Develop and optimize pricing models using GPU acceleration
- Utilize and integrate relevant Python libraries such as NumPy, SciPy, Pandas, TensorFlow, PyTorch, CuPy, and so on for numerical computations and data analysis.
- Calibrate volatility models based on the liquid listed options data
- Coordinate with developers to integrate the quant library into the live pricing and risk management system
What We Look For In You
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Education background in quantitative disciplines. Candidates with MSc/PhD background in Math/Physics/Financial Engineering/Computer Science are highly preferred
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Deep understanding in advanced probability theory and stochastic calculus
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Hands on experience with GPU programming and libraries such as CUDA, CuPy, JAX, TensorFlow, or PyTorch and GPU acceleration for Monte Carlo Pricing Experience
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Experience in numerical methods such as Monte Carlo Methods, PDE solvers, and lattice methods
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Familiarity with stochastic volatility models/jump-diffusion models and their implementations is a plus
Perks & Benefits
- Competitive total compensation package
- L&D programs and Education subsidy for employees' growth and development
- Various team building programs and company events
- Wellness and meal allowances
- Comprehensive healthcare schemes for employees and dependants
- More that we love to tell you along the process!
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