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

• 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