AM - Quant Intern (Phd Only)
Confirmed on the employer's own hiring board on Oct 27, 2026. First seen by Alion on Oct 26, 2026.
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.
Roles & Responsibilities:
- Contributing both for live trading and research
- Assisting in developing and implementing a deep learning strategy to enhance strategy performance
- Assist in processing complex data and conduct data analysis
- Collaborate with quantitative researchers and developers to optimize existing algorithms and codebases.
Requirements:
- PhD in finance, computer science, mathematics, physics, engineering or other quantitative discipline.
- Demonstrated ability to conduct independent research utilizing large data sets.
- Strong programming in at least one of the following: Python, C++, MATLAB, Java
- Strong analytical and quantitative skills.
- Collaborate with senior researchers and developers to optimize existing algorithms and codebases.
- Intellectual curiosity and passion.