Software Engineer - 2027 New Grad
Summary
New-grad software engineer at a quantitative trading firm in Hong Kong, developing and optimizing low-latency stock and futures trading systems, quant research infrastructure (backtesting, distributed computing), and large-scale data platforms. Core stack: Linux with C++14/17 and/or Python 3.
- Development, optimization, and maintenance of stock and futures trading systems;
- Optimizing the network and hardware environment of low-latency trading systems;
- Developing quantitative research infrastructure for massive financial data, such as backtesting systems and distributed computing solutions;
- Developing large-scale data platforms supporting complex and diverse needs such as live trading and research.
- Bachelor's degree or above in Computer Science or a related field from a a World-Renowned University;
- Proficient in Linux operating system, and meeting one of the following: a. Proficient in C++14/17 and one scripting language / b. Proficient in Python 3 and one strongly typed language;
- Familiar with best practices such as git, code review, and CI/CD;
- Strong interest in quantitative trading and machine learning.
- Winner of ACM/ICPC, NOIP, or National Informatics Olympiad;
- Experience in maintaining large-scale, highly complex, and mission-critical products;
- Excellent system design capabilities, able to design systems from multiple aspects such as performance, reliability, and availability;
- Experience in low-level development of computer systems such as operating systems, databases, storage systems, and distributed systems (any one of these);
- Participation in research projects and publication of papers in top international computer science conferences.
Skills
As published by greenhouse · 3 questions
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