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AM - Trading Infrastructure - Market Making Software Engineer
Hong Kong • Full-Time

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.  

 

Role and Responsibilities:

  • Develop, maintain, and implement automated market-making strategies.
  • Continuously monitor and optimize strategy performance to ensure competitive pricing.
  • Collaborate with traders to identify opportunities for strategy enhancement.
  • Develop and maintain robust algorithmic trading systems.

Requirements:

  • Strong knowledge of statistics and solid programming skills.
  • Strong analytical skills with experience in analyzing large datasets.
  • Bachelor's or Master's degree in Engineering or Computer Science; advanced degree preferred.
  • 3+ years of relevant experience in designing and developing real-time trading systems in the equity or digital asset markets, particularly in low-latency environments.
  • Experience in Python development, familiarity with design patterns, and popular third-party toolsets.
  • Proficiency in Linux development.