AM – Prop – CTA – Quantitative Researcher

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:

• Conceptualize, develop, and refine quantitative models used for crypto trading by leveraging real-time data analysis.
• Perform back-testing of quantitative strategies to ensure efficacy and efficiency.
• Conduct statistical analysis and implement machine learning techniques to predict market movements and identify trading signals.
• Work collaboratively with the developers to implement algorithms into the trading platform.

Qualifications:

• MS or PhD in Computer Science, Statistics, Mathematics, or a related field.
• At least one year of proven experience as a quantitative researcher within a dynamic systematic trading environment.
• Demonstrated ability to conduct independent research utilizing large datasets.
• Strong programming skills in Python, or similar languages used in quantitative finance.
• Experience with machine learning libraries and frameworks such as TensorFlow, PyTorch.
• Ability to work in a fast-paced and collaborative environment.
• Solid knowledge of secondary financial markets such as the Hong Kong stock, U.S. stock or Crypto exchanges, with previous investment experience highly preferred.

Amber Group opens its doors to the curious problem solver empowered to make an impact in shaping tomorrow. As a hyper-growth company since day 1, we continually invite talent to join our diverse, nimble and digitally-native teams. If this sounds like you, apply now, or get in touch with us today at lucy.liu@ambergroup.io.