Job Summary:
We are looking for a talented and enthusiastic Analyst to support our investment team, with a particular focus on ETFs and AI & Quantitative Investments. This unique role offers a significant opportunity to contribute to ETF portfolio management, apply quantitative analysis and explore the cutting-edge applications of Large Language Models (LLMs) AI within the investment domain. The ideal candidate will possess strong analytical capabilities, a foundational understanding of financial markets, and a keen interest in both quantitative methods and artificial intelligence.
Key Responsibilities:
ETF Portfolio Management Support:
- Provide analytical and operational support for ETF portfolio management, including assisting with portfolio rebalancing, order trade management and portfolio monitoring to ensure effective benchmark tracking.
- Conduct market intelligence research on ETF products and markets
- Support the team in managing portfolio corporate actions and other events impacting ETF portfolios
Quantitative Analysis & Screening:
- Assist in the development, testing, and maintenance of quantitative models used for investment screening and portfolio construction.
- Assist in conducting data analysis, backtesting, and performance attribution for various investment strategies and portfolios.
- Support the research and evaluation of new data sources, analytical techniques, and investment opportunities
LLM AI Investment:
- Support the exploration and integration of Large Language Models (LLMs) and other AI technologies on user level to enhance investment research, data processing, and operational workflows.
- Assist in identifying and evaluating potential use cases for AI within the asset management context, such as automating research, financial document analysis, or improving data extraction from various data sources.
- Help with data preparation, model evaluation, and performance monitoring for AI-driven applications.
Qualifications:
- Bachelor's or Master's degree in Economics, Financial Mathematics, Finance, Computer Science, or other related quantitative fields.
- 1-3 years of experience in the asset management industry; Passionate fresh graduates with relevant academic projects or internships are welcomed.
- Proficiency in VBA and Python.
- Demonstrated interest in Large Language Models (LLMs), artificial intelligence, and their potential applications for investing.
- Understanding of financial markets, investment products (especially ETFs), and core quantitative finance concepts.
- Strong analytical, problem-solving, and critical thinking skills with attention to detail.
What We Offer:
- A challenging and rewarding role at the intersection of finance and cutting-edge technology.
- Exposure to innovative investment strategies and advanced analytical tools.
- Opportunities for continuous learning, professional development, and career growth.
- A collaborative and supportive work environment that values innovation and intellectual curiosity.