uSMART盈立證券是香港新一代互聯網券商，通過技術創新和人工智能科技為投資者提供簡單，專業和低成本的全球投資服務。 uSMART盈立證券是香港持牌券商（中央編號：BJA907），持有香港證監會授予的1、2、 4、5、6 、9號牌照，是香港證監會認可的全牌照優質券商，致力遵循香港金融法規保障投資者資產安全。

uSMART盈立證券的核心管理及金融科技團隊成員來自世界知名科技企業巨頭和知名金融機構，包括騰訊、阿里巴巴、微軟、雅虎、優步、法国巴黎银行、瑞士银行等。 uSMART盈立證券結合自身領先的人工智能和機器學習演算法为用户開發新一代移動證券交易APP (uSMART盈立智投)，進一步優化投資者買賣證券的體驗，為投資者爭取獲得更佳回報機會。

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uSMART Securities is a new generation of Internet brokers in Hong Kong that provides investors with simple, professional and low-cost global investment services through technological innovation and artificial intelligence technology.

uSMART Securities (CE no. BJA907) is licensed under The Securities and Futures Ordinance (Chapter 571), and allowed to carry on Type 1, 2, 4, 5, 6, 9 regulated activities. We are committed to complying with Financial Services Compliance to safeguard investor asset and to provide excellent service. uSMART Securities' core management and financial technology team members come from world-renowned technology giants and well-known financial institutions, including Tencent, Alibaba, Microsoft, Yahoo, Uber, BNP Paribas, Swiss Bank, etc. uSMART Securities combines its leading artificial intelligence and machine learning algorithms to develop a new generation of mobile securities trading APP (uSMART) for investors, further optimizing the users’ experience of securities trading and help seek for better returns.

Job Responsibilities:

Architecture & Development: Lead or participate in the design and development of AI Large Language Model (LLM) applications, AI Agents, internal tooling platforms, and related infrastructure services.

Quant Data Infrastructure: Build and maintain a quantitative data center. This involves managing fundamental and technical data, as well as processing unstructured data such as financial reports, news, research papers, and social media text using NLP techniques.

Efficiency Tools: Develop automation tools for the quantitative strategy research workflow to enhance the efficiency of strategy development and backtesting.

Job Requirements:

Technical Proficiency: Master of Python; familiar with common development frameworks with a strong ability to write high-quality, scalable code.

Database Skills: Proficient in relational databases (MySQL/PostgreSQL) and NoSQL technologies (Redis/MongoDB).

Quant Ecosystem: Familiarity with the Python data science and quant stack, such as Pandas/NumPy (data cleaning) and Backtrader/Zipline (backtesting).

Financial Market Knowledge:

Familiarity with HK, US, and A-share trading markets.

Understanding of market analysis methods (Fundamental, Technical, and Sentiment analysis). Knowledge of mainstream quantitative strategy logic (e.g., Statistical Arbitrage, Multi-factor Models, CTA).

Soft Skills: Strong communication skills, team player, and possessed of an entrepreneurial spirit.

Preferred: Prior experience in quantitative strategy R&D is a strong plus.

About Us:

We are the AI Labs Team at uSmart Securities. We are dedicated to building innovative products for the securities market, including AI-driven investment advisory tools, automated research report generation, and intelligent marketing solutions.

We offer attractive remuneration package to the right candidates. Interested parties please send your current and expected salary by email.

Data collected will be used for recruitment purpose only.

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