We are seeking talented individuals to join our systematic investing team. We are looking for analysts with experience in applying Natural Language Processing (NLP) to real-world financial data. Responsibilities include everything from textual data collection and processing to modeling and deployment. You'll work closely with portfolio managers and other team members on diverse tasks, from developing our central data platform to daily portfolio management and researching systematic investment strategies. This is a great opportunity for candidates who want to apply NLP models to financial strategies on the buy side and seek portfolio management responsibilities.
Responsibilities:
- Manage data governance, inventory, acquisition, and analysis.
- Collaborate with portfolio managers and analysts to capture and deliver data-related requirements.
- Process text data and build models, including data collection, cleansing, and analysis.
- Assist in portfolio management, including operational activities, performance, and risk analysis.
- Explore and conduct in-depth studies for new potential investment opportunities.
- Conduct empirical analysis and modeling on financial data to develop actionable insights.
Requirements:
- Over 3 years of experience in related fields.
- Strong numerical, analytical, and problem-solving skills.
- Hands-on experience with NLP techniques for text representation, semantic extraction, textual data analysis, and LLM fine-tuning and deployment.
- Proficient in Python (with PyTorch or TensorFlow) and experienced in SQL.
- Interest in portfolio construction and systematic investment strategies.
- Master's or Ph.D. in finance, engineering, statistics, computer science, or a similar quantitative discipline and/or information technology.
- Excellent command of written and spoken English and Mandarin.
We offer an attractive remuneration with excellent opportunities to the right candidate. Interested parties please apply with detailed resume. (All personal information received will be kept in strictly confidential and only for recruitment purpose only.)