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Location
In office (Hong Kong)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Oct 26, 2026.

Overview
Company
Impact
Profile match
Amber Group is a digital asset financial services firm founded in 2017 and headquartered in Singapore. It provides institutional trading, market making, structured products and wealth management across Asia, Europe and the Middle East. The group has also built consumer and technology businesses and listed a subsidiary on a United States exchange.
Backed by Hack VC, DFG

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:

  • Collaborate with quantitative researchers to integrate trading strategies into production systems.
  • Refine and integrate existing trading systems and architectures to enhance strategies performance.
  • Optimize existing codebases for low latency and efficiency in a real-time trading environment.
  • Work closely with quantitative researcher teams to gather business needs and deliver high-quality solutions.

Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering or a related field.
  • Proven experience in software development, preferably in a quantitative finance environment.
  • Strong programming skills in Python, with familiarity in other high-performance languages such as C++.
  • Strong understanding of Linux developing environment.
  • Excellent problem-solving abilities and attention to detail.
  • Strong communication skills and ability to work collaboratively in a team-oriented environment.
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