Who We Are
At OKX, we believe our future is reshaped with technology. Founded in 2017, OKX is one of the world’s leading cryptocurrency spot and derivatives exchanges. OKX innovatively adopted blockchain technology to 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 20 million users in over 180 regions globally, OKX strives to provide an engaging platform that empowers every individual to explore the world of crypto. In addition to its world-class DeFi exchange, OKX serves its users with OKX Insights, a research arm that is at the cutting edge of the latest trends in the cryptocurrency industry. With its extensive range of crypto products and services, and unwavering commitment to innovation, OKX vision is a world of financial access backed by blockchain and the power of decentralized finance.
We invest in our people as much as we invest in technology. We are united by our engaging culture, here we win as a team, embrace changes, and do the right thing. We are committed to creating a friendly, rewarding and diverse environment for OKers. It doesn’t matter where you come from, here everyone feels valued, respected and has the same opportunities to develop and thrive — we want to bring out the best in you.
About the Opportunity
What You’ll Be Doing:
- Implement analytics libraries for the risk management team to measure the risk of vanilla and structured cryptocurrency derivatives including mark price, liquidation thresholds, etc
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Develop quantitative models using numerical techniques such as Monte Carlo Methods, PDE solvers to evaluate different types of derivatives under different models, such as the Stochastic Local Volatility Model, the SABR model, and the Jump-diffusion model to gauge risk under different market conditions
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Coordinate with developers to integrate the quant library into the exchange's risk management system
What We Look For In You:
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Solid STEM (Science/Technology/Engineering/Mathematics) education background. 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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Fluent with at least one OOP language, preferably in Java. Knowledge in Python and its related library is a plus
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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
- Willing to learn all aspects of trading products in financial and cryptocurrency markets, including vanilla and exotic product
Nice to haves:
- Familiarity with blockchain and cryptocurrency exchanges
- Leading company experience
Perks & Benefits:
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Competitive total compensation
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Comprehensive insurance coverage for employees and their dependants
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More that we love to tell you along the process!
