Quant Trader (Stat Arb)

Amber Group is a global leading digital asset company providing crypto financial services to both institutional and high-net-worth investors globally.

We offer best-in-class liquidity solutions and cutting-edge trading infrastructure across major exchanges, applications, and networks. With over $1 trillion in cumulative trading volume, our deep liquidity helps power the digital asset ecosystem.

Beyond trading, our full-suite of offerings includes wealth management, lending and investing products. But at our core, we focus on building strong relationships and delivering personalized service to help clients navigate this fast-growing industry.

At Amber, security is our #1 priority. We have invested years of effort and millions of dollars in cybersecurity, crypto-security, and operational security across the firm, with industry-leading certifications like SOC 2 Type II and ISO 27001.

Powered by a 400+ team of traders, technologists and engineers operating 24/7 globally, our technology and research capabilities are world-class. Yet we remain entrepreneurial, always seeking fresh ideas and risks worth taking. We are always interested in people who have an appetite for taking calculated risk, demonstrate a high level of original thinking and intellectual curiosity.

Responsibilities:

• Exceptional analytical skills, particularly in terms of identifying opportunities when analyzing large data sets

• Extensive mathematical and statistical modeling skills

• A passion for solving problems and a drive for results

• Experience as a quantitative analyst/trader in systematic equities / statistical arbitrage strategies.

• Candidates with quantitative development experience or will be considered

Qualifications:

• Masters or PhD degree in a quantitative subject such as Computer Science, Applied Mathematics, Statistics, or related field

• Programming experience in languages such as Go, Python, Java and C++ is a strong plus.

• Immediate available is higher preferred

• Knowledge of written Chinese or spoken Mandarin a plus