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:

• Perform innovative factor research, uncover unique insights that differentiate from our existing models and frameworks.
• Collaborate with the technology team to refine data infrastructure, ensuring seamless and efficient access to relevant market, financial, and blockchain data.
• Deploy machine learning methodologies effectively to generate trading strategies and improve financial models and forecasting accuracy.

Qualifications:

• Bachelor’s degree or higher in Mathematics, Statistics, Computer Science, or a related field.
• Minimum of 1 year of experience in quantitative research or algorithmic trading.
• Strong programming skills in at least one language, e.g. Python.
• Familiarity with derivatives trading strategies in the crypto market is a plus.  
• Knowledge with options is a plus.
• In-depth experience in machine learning model training is preferred.
• Effective team player who actively collaborates with research and engineering teams.
• Demonstrable ability to think critically and solve complex problems under pressure.