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 & Responsibilities:
Enrich and implement alpha and trading algorithms
Work closely with traders and quant researchers to roll out, support, and run strategies
Build and support new quantitative trading framework software
Integrate trading systems with databases, research systems, trading platforms, and data reconciliation mechanisms
Develop performance reporting website systems
Integrate with internal or external APIs for seamless data exchange
Support traders by deploying, monitoring, and maintaining strategies
Requirements:
One year or more of relevant experience in software development
Solid programming skills with proficiency in Python3 (mandatory); Proficiency in at least one compiled language such as C++, C#, Go, or Java
Experience with Pandas library for efficient data manipulation and analysis
Familiarity with asynchronous libraries for effectively handling of concurrent tasks
Previous experience developing web applications using popular frameworks
Basic knowledge of general software skills including Git, Docker, Linux, Redis, and RabbitMQ, etc.
STRONG Understanding of algorithms, data structures, and object-oriented programming
Immediate availability is strongly preferred