The ideal candidate will have over three years of experience in equity research, with a strong background in mid to low-frequency quant trading strategies. Experience working with alternative data is a plus. The successful candidate will be responsible for conducting in-depth research, developing robust quantitative models, and continuously enhancing trading strategies.
Key responsibilities include analysing financial data, identifying trading opportunities, and building predictive models that drive investment decisions. The candidate should have expertise in statistical analysis, machine learning techniques, and programming languages such as Python or C++. A strong mathematical foundation and experience with backtesting frameworks are essential.
The ideal candidate will possess excellent problem-solving skills, strong attention to detail, and the ability to work collaboratively in a fast-paced environment. The role requires the ability to translate complex data insights into actionable trading strategies.
This position offers a competitive salary and the opportunity to contribute to a leading financial institution's quant research and trading initiatives in the Asian markets.
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