Off-Cycle Trading Intern - Quantitative Researcher
Off-Cycle Quantitative Researcher Intern As a Quantitative Researcher Intern, you will have the opportunity to engage in a variety of domains that are pivotal to our team's success. This role is ideal for candidates passionate about financial markets, data analysis, and machine learning. You will work closely with experienced researchers and contribute to the development and enhancement of our proprietary tools and models.
Primary Responsibilities - Data Analysis & Signal Generation: Analyze diverse financial market data, including market microstructural data, fundamentals, and alternative datasets, to extract predictive signals.
- Advanced Modeling: Utilize cutting-edge Machine Learning (ML) and Deep Learning (DL) models to generate financial market forecasts.
- Multi-Asset & Multi-Region Research: Explore and compare the nuances of market microstructural data across different financial markets.
Requirements: - Currently enrolled in a BA/BS or MSc in Computer Science, Data Science, Engineering, Mathematics, or related field
- Strong coding skills (Python, C++, or similar), with experience writing clean, efficient, and production-quality code
- Solid background in quantitative analysis (statistics, data mining, mathematics, machine learning, etc.)
- Familiarity with fundamental and financial statement data (e.g., income statement, balance sheet, cash flow statement, accounting ratios, valuation indicators, macro or industry fundamentals) is highly preferred; if you do not yet have this background, you should demonstrate a strong willingness and ability to learn finance and accounting concepts quickly
- Interest in applying these skills to APAC equity markets and cross-country equity stat arb research
- Some understanding of Large Language Models (LLMs) or modern deep learning methods, and curiosity about their application to research and markets
- Ability to commit to a 3 to 6-month full-time internship based in Hong Kong