OKX is hiring a
Web3 Junior Quantitative Analyst

Compensation: $87k - $2k estimated

Location: HK Hong Kong

About OKX:
OKX is a world-leading digital asset trading platform, providing advanced financial services to traders globally by using blockchain technology. OKX provides hundreds of token & futures, options, and structured products in cryptocurrency space, offering the widest ranges of instruments. OKX derivatives remains a top-notch venue globally and has a daily volume of dozens of billions and is widely recognized as the golden standard in the industry. Empowered by the industry-leading risk management system, OKX is a trusted global marketplace that keeps providing stable and sustainable trading services to millions of users in over 100 countries.
We believe the blockchain technology will eliminate barriers to transactions, increase the efficiency of transactions across society, and eventually have a significant impact on the global economy. We strive to make innovative achievements that change the world and never stop to improve on our customer experience.
What we offer:
  • An opportunity to work at a world leading blockchain company
  • Team with experts from Goldman/JP Morgan/Nomura Securities/Credit Suisse/Alipay/Tencent/Facebook
  • Play an important role in making a difference in financial markets every day
  • The chance to transform the industry and to be part of the next global financial markets breakthrough
  • Join one of the most trusted and fastest-growing exchange with dozens of billions daily trading volume, serving more than 10 million customers globally
  • Flat organizational structure enabling you to grow fast with help from leaders and senior colleagues
  • Very competitive remuneration package
How the daily work looks like:
  • Implement analytics libraries for the risk management team to measure the risk of vanilla and structured cryptocurrency derivatives including mark price, liquidation thresholds, etc
  • 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
  • Coordinate with developers to integrate the quant library into the exchange's risk management system
Ideal candidate must have:
  • Solid STEM (Science/Technology/Engineering/Mathematics) education background. Candidates with MSc/PhD background in Math/Physics/Financial Engineering/Computer Science are highly preferred
  • Deep understanding in advanced probability theory and stochastic calculus
  • Fluent with at least one OOP language, preferably in Java. Knowledge in Python and its related library is a plus
  • Experience in numerical methods such as Monte Carlo Methods, PDE solvers, and lattice methods
  • 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 have:

  • Familiarity with blockchain and cryptocurrency exchanges
  • Leading company experience

Apply Now:

This job is closed

Compensation: $87k - $2k estimated

Location: HK Hong Kong

This job is closed


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