Quantitative Researcher

OKX • Full-time • Singapore, Singapore • 2d ago

OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.

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!

What You’ll Be Doing

Perform quantitative analyses to support liquidity and product teams.
Apply statistical techniques and data analysis tools to extract insights and identify market trends.
Collaborate with traders to research, test and optimize current models.
Collaborate with cross-functional teams to integrate quantitative research into production strategies.

What We Look For In You

A Bachelor's, Master's or Doctoral degree in a quantitative field such as statistics, computer science, mathematics, economics or a related discipline.
Familiarity with on-chain analytics and blockchain data sources, such as Dune Dashboard, CoinMarketCap, Glassnode, or similar platforms.
Experience with quantitative research methodologies, such as time series analysis, machine learning, optimization techniques, and backtesting frameworks.
Ability to reason logically, deliver under pressure and take ownership.
Excellent communication and presentation skills, with the ability to convey complex quantitative concepts to both technical and non-technical audiences.
Fluent in at least English or Mandarin.