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:

• Generate new ideas to design and implement mid frequency trading strategies
• Proven track record in quantitative investment, with an in-depth knowledge of trading strategy research, statistical analysis and back testing, portfolio construction and optimization
• Perform extensive quantitative analysis of financial data to apply the entire process of signal investigations, from idea generation, data gathering, research and analysis, to signal implementation
• Managing portfolio risk and ensuring compliance with established risk parameters.

Requirements:

• Bachelors, Masters or PhD degree in Mathematics, Statistics, Computer Science or equivalent STEM degree
• Proficiency in statistical analysis, time series analysis, and quantitative modeling.
• Proficiency with Python
• Proven track record in cryptocurrency trading is highly preferred