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Quant Intern
Singapore
AM – Proprietary /
Intern /
On-site
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HK$10,000 - HK$15,000 a month
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:
MS or 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.
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