Company Description
Bankside Capital is a data-driven investment firm with assets allocated across public equity, alternative assets and private equity. The Fund adopts a value investing methodology powered by quantitative models and AI.
Key Responsibilities
- Research and develop AI-driven trading strategies using advanced machine learning and deep learning methods;
- Use mathematical or statistical techniques to solve practical issues in investment, and deploy trading algorithms across asset classes;
- Coordinate with the fund manager and analyst to analyse trading strategies, market conditions, and monitor trading system performance; and
- Create tools for quantitative processing and predictive analysis.
Required Skills & Experience
- Strong programming skills in C++, Python, or Java.
- Hands-on experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn).
- Proficiency in statistical modeling (e.g., multivariate regression, time series analysis, simulation, and backtesting).
- Advanced data-mining and analytical skills, with experience handling large and noisy datasets.
- Familiarity with both fundamental and technical analysis in financial markets.
- Ability to write clean, maintainable, and efficient code, with knowledge of best practices in software development and version control systems (e.g., Git).
- Fluent in both English and Mandarin.
Qualifications
- Pursuing a degree in Computer Science, Quantitative Finance, Data Science or equivalent;
