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:

• Design, backtest, and implement quantitative trading strategies across centralized and decentralized exchanges.
• Conduct statistical analysis to identify new trading strategies and improve strategy performance.
• Monitor real-time strategy performance, manage risk exposures, and conduct P&L attribution analysis.
• Collaborate with engineering team on system architecture and optimization.
• Stay abreast of the latest AI technologies to enhance trading execution and data analysis.  

Qualifications:

• Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or related quantitative field
• 3-5 years of hands-on experience in quantitative trading, with a proven track record of profitable strategy development.
• Strong programming proficiency in Python and/or Golang.Experience with statistical analysis, backtesting frameworks, and order execution systems.
• Understanding of web3 and DeFi protocols and on-chain trading mechanisms.
• Track record of research-to-production velocity in fast-moving markets.