Company Description:
Bankside Capital is a new-generation asset management company with investments across the public market, private equity and real estate.
This role will be based in Singapore.
Job Scope:
- Research, develop and fine-tune Bankside’s in-house quantitative trading models
- 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
- Create tools for quantitative processing and predictive analysis.
Requirements:
- Strong programming skills in Python, C++, or Java
- Practical knowledge in simulation, testing, and statistical modeling (multivariate regression, time series modeling, etc.)
- Excellent data-mining and analytical skills
- Able to demonstrate creative problem-solving skills
- Familiar with fundamental and technical analysis in trading and investment
- Proficiency in writing clean, maintainable, and efficient code adhering to best practice in software development; Familiar with version control (such as Git)
Education and Experience:
- Masters/Degree/Penultimate University students with a major in Finance and/or quantitative field such as Computer Science, Mathematics, Statistics, Quantitative Finance or equivalent
- Bilingual in both English and Mandarin
Singaporean and PR may apply
