Quantitative Analyst

The Laboratory for AI-Powered Financial Technologies Limited (AIFT) aims to be a leading research centre on financial technologies and services. We are seeking a passionate and talented Quantitative Analyst to join our growing team. Key Accountabilities Manage the end-to-end data pipeline with thorough validation, cleaning, transformation, and ongoing updates of client and transaction performance data. Assist with enhancing and maintaining the existing platform (TypeScript and React frontend, Python and FastAPI backend) by implementing functional modifications, bug fixes, and new requirements. Assist with the development and maintenance of a robust, high-performance, production-grade Python-based simulation and analytics components (Monte‑Carlo simulations, financial modelling, multiprocessing). Coordinate with the supervisors and cross‑functional teams to solicit cooperation and resolve problems. Explore the cutting edge FinTech solution empowered by Big Data, artificial intelligence, LLM, and modern financial technologies and tools. Knowledgeable on Fintech development in the leading areas in the industry. Undertake ad‑hoc tasks as assigned from time to time. Qualification / Knowledge & Experience 1 year or above experience relevant working experience. Bachelor's degree or above with a strong academic background in a quantitative discipline (Computer Science, Data Science, Finance, or related fields) from a recognized institute / university. Proficiency and hands‑on experience with Python. Deep expertise in database systems (SQL and NoSQL), data validation, reconciliation, and pipeline management; exceptional attention to detail and commitment to data accuracy. Strong command of data tools and scripting (Python, ETL processes, data quality frameworks). Proficiency and hands‑on experience in TypeScript, React, and Ant Design (AntD) with solid full‑stack development skills (frontend and backend) highly preferred but not required; prior experience with financial or transaction platforms will be highly advantageous. Knowledge and experience with system architecture and system deployment is a plus. Excellent analytical and problem‑solving abilities with the capacity to work independently in a dynamic environment. Familiarity with LLM applications is preferred. Candidates with outstanding strength in data and analytics are strongly encouraged to apply even if they do not have frontend experience; conversely, candidates with strong full‑stack skills are also welcome. Application Questions How many years' experience do you have in a business analyst (BA) role? Which of the following statements best describes your right to work in Hong Kong? What's your expected monthly basic salary? Which of the following data analytics tools are you experienced with? How many years' experience do you have as a Quantitative Analyst? Which of the following programming languages are you experienced in? #J-18808-Ljbffr