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Open nowPosted 44 hours ago

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

moomoo

Where
Shenzhen, Guangdong Province, China
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Your applicationOpen now2027 Fresh Grad Hire - Algorithm Engineer (Financial Securities Algorithm R&D Fomoomoo · Shenzhen, Guangdong Province, China

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.5%14 days
  5. 35.5%30 days
  6. 45.1%60 days
This job: posted 44 hours ago

The posting

  • 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.

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