7 days ago
Guangzhou, ChinaIntern
Responsibilities
- Review literature and emerging approaches in event extraction, knowledge graphs, and event-enhanced financial analytics.
- Support prototype development for event representation, event-to-product exposure scoring, and reverse lookup from events to potentially affected customers.
- Explore methods for connecting events to financial products and customer portfolios.
- Design and run experiments using synthetic customer profiles, event references, and consistency checks.
- Document technical approaches, findings, and evaluation results for project review.
- Collaborate with researchers, engineers, and business stakeholders to iterate on methods and prototypes.
Requirements
- Be a current student or recent graduate in Computer Science, Artificial Intelligence, Data Science, Statistics, Mathematics, Financial Engineering, Economics, or a related field.
- Have strong interest in NLP, machine learning, knowledge graphs, event analytics, or financial intelligence.
- Have familiarity with Python and common data analysis libraries.
- Have SQL experience preferred.
- Experience with event extraction, topic detection, text mining, knowledge graph construction and querying, graph analytics, graph neural networks, financial text analysis, product exposure analysis, or ML model development and evaluation is a plus.
- Demonstrate analytical thinking, research capability, communication skills, and ability to work in a team.
Benefits
- Flexible working and opportunities for continuous professional development and career growth within an inclusive and diverse workplace.
About HSBC
HSBC is a global bank that provides retail, commercial and investment banking, payments, and wealth management to individuals, SMEs, and multinationals. It earns fees, interest income, and trading revenues through branches and digital platforms across major markets. Headquartered in London, it serves over 40 million customers in 58 countries and is listed in London, Hong Kong, New York, and Bermuda.