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1. Developing artificial intelligence systems for equity and multi-assets investment. 2. Help developing and maintaining new multifactor quantitative models and strategies to be implemented in new equity funds and portfolios 3. Developing and maintaining database and quantitative tools for alpha backtesting, optimization and portfolio construction
1. Strong academic background in relevant disciplines. 2. Proven experience in designing and back-testing active systematic equity quantitative strategies 3. Strong knowledge in portfolio analytics, risks, optimization and construction systems (Factset, Barra, Axioma, Alpha tester, etc.) and programming knowledge (Python, Java, SQL, R, C++, etc.).