Quantitative Researcher

4 Days ago • All levels

About the job

Summary_{By Outscal}

OKX seeks a Quantitative Researcher to analyze market trends, build models, and collaborate with traders. Must have expertise in quantitative research methodologies, on-chain analytics, and blockchain data sources.

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 that the future will be reshaped by Crypto, ultimately contributing to every individual's freedom. OKX began as a crypto exchange giving millions of people access to crypto trading and over time becoming among the largest platforms in the world. In recent years, we have developed one of the most connected Web3 wallets used by millions to access decentralized crypto applications (dApps). OKX is a trusted brand by hundreds of large institutions seeking access to crypto markets on a reliable platform that seamlessly connects with global banking and payments. In the last year, OKX has expanded into new markets including Australia, Brazil, Netherlands, Singapore and Turkey, with plans to launch in the US, Belgium and the UAE.

We are deeply committed to shaping a fairer, more transparent and accessible society through blockchain technology. This is why we publish proof of reserves monthly, and continue to ship new innovative security features.

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.