moomoo

Global investing platform offering data tools

Algorithm Engineer New Grad - Financial Securities Algorithm R&D Fo

Quantitative Trading / Algorithm Development +1Confirmed live in the last 24 hours

Full-timeHong KongNo salary listedIn-person

About the Job

Requirements

A bachelor's degree or above in Financial Engineering, Computer Science, Applied Mathematics, or a related STEM field.
Familiarity with securities trading mechanisms and a basic understanding of algorithmic execution or option pricing.
Solid programming fundamentals and proficiency in at least one language such as Python or Go.
Ability to implement algorithms and models as runnable code.
Good English and Chinese listening, speaking, reading, and writing skills, including the ability to read English technical literature fluently and communicate in day-to-day and technical contexts.
Respect for financial business, data, and rules, with risk awareness and sensitivity to pricing, executions, and anomalous results.
Clear logical thinking and effective communication and collaboration.

Responsibilities

Participate in designing and developing systems that include algorithmic orders, quantitative models, and smart order routing, translating algorithmic designs into runnable and verifiable system implementations.
Participate in researching and optimizing execution algorithms such as TWAP and VWAP, as well as machine-learning-based strategies, focusing on execution performance and reproducibility of results.
Participate in developing and optimizing algorithms and systems related to option pricing and volatility surfaces, ensuring the correctness of pricing logic, parameters, and boundary conditions.
Use AI tools appropriately to improve research and development efficiency, and validate key outputs such as model results, executions, and pricing.
Read English technical literature, interface protocols, and relevant market materials, and communicate day to day and technically with business and engineering teams.

Desired Qualifications

Internship or project experience in quantitative finance, securities firms, exchanges, or fintech.
Basic knowledge of machine learning.
Project or research experience in machine learning, deep learning, or option pricing.
Hands-on experience applying AI tools to model research or code implementation.

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

moomoo · Hong Kong, Hong Kong · Full-time · Posted 2026-10-22

Workplace: on_site

Description

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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About the Company

moomoo

Global investing platform offering data tools

Moomoo is a global investing platform that provides stocks, ETFs, options, and crypto with real-time market data and a set of trading tools. It helps users make informed decisions by offering features like real-time quotes, technical analysis tools, and in-depth order book data all in one place. Its products are designed to be easy for beginners while powerful enough for experienced traders, combining accessible data with advanced analytics to support a wide range of investment strategies. Compared to other platforms, moomoo stands out by offering a broad mix of assets across markets and a comprehensive toolkit in one place, focusing on both user-friendliness and depth of analysis. The company’s goal is to help global investors grow their financial potential over time, empowering people at all levels of experience to pursue their investment journey.

Company size: 51-200
Company stage: Not listed
Total funding: Not listed
Headquarters: Palo Alto, CA
Founded: 2018

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