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2027 Fresh Grad Hire - Algorithm Engineer (Financial Securities Algorithm R&D Fo

moomoo·Shenzhen, Guangdong Province, China
full timeShenzhen, Guangdong Province, ChinaPosted today

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AT A GLANCE

TechnologyFull TimeBachelor’s degree preferred

Preferred

  • Bachelor’s degree
Preferred qualifications are helpful, not automatic disqualifiers.
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• Participate in the design and development of systems including algorithmic orders, quantitative models, and smart order routing, translating algorithmic designs into runnable and verifiable system implementations. • Participate in the research and optimization of execution algo

About the role

• Participate in the design and development of systems including algorithmic orders, quantitative models, and smart order routing, translating algorithmic designs into runnable and verifiable system implementations. • Participate in the research and optimization of execution algorithms such as TWAP and VWAP, as well as machine learning–based strategies, with a focus on execution performance and result reproducibility. • Participate in the development and optimization of algorithms and systems related to option pricing and volatility surfaces, with attention to the correctness of pricing logic, parameters, and boundary conditions. • Make appropriate use of AI tools to improve efficiency in research and development, and validate key outputs such as model results, executions, and pricing. • Read English technical literature, interface protocols, and relevant market materials, and engage in day-to-day and technical communication with business and engineering teams. Requirements • Education: Bachelor's degree or above in Financial Engineering, Computer Science, Applied Mathematics, or a related STEM field. • Financial knowledge: Familiarity with securities trading mechanisms and a basic understanding of algorithmic execution or option pricing; internship or project experience in quantitative finance, securities firms, exchanges, or fintech is preferred. • Technical skills: Solid programming fundamentals; proficiency in at least one language such as Python or Go; ability to implement algorithms and models as runnable code; Basic knowledge of machine learning is preferred. • Work attributes: Respect for financial business, data, and rules; risk awareness and sensitivity to pricing, executions, and anomalous results; clear logical thinking and effective communication and collaboration. • Language skills: Good English & Chinese listening, speaking, reading, and writing skills; ability to read English technical literature fluently and to communicate in both day-to-day and technical contexts. • Preferred qualifications: Project or research experience in machine learning, deep learning, or option pricing; hands-on experience applying AI tools to model research or code implementation. *Open to candidates graduating between January 2026 and August 2027.
Posted10/22/2026
Statusactive
CommuteDistance only

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