Associate / AVP, Quantitative Investment Strategist 量化投資策略師

We are seeking a highly motivated Quantitative Strategist to join our Investment Strategy team. You will leverage advanced statistical and machine learning techniques to develop systematic strategies and generate alpha across global markets. This role requires close collaboration with portfolio managers and technology teams to enhance our data-driven investment process

Job Descriptions:

• Develop and implement quantitative models for stock selection and market timing using statistical, machine learning, and deep learning methodologies
• Conduct alpha research by mining robust factors from macro, fundamental, and technical datasets
• Apply data mining techniques to large-scale financial datasets to extract sentiment indicators and trend signals.
• Stay abreast of cutting-edge machine learning algorithms and assess their potential application to enhance existing investment frameworks
• Collaborate with cross-functional teams including Technology and Risk to productionise models and ensure robust post-trade analysis
• Perform ad-hoc duties as assigned by senior management

Job Requirements:

• Master or PhD in a highly quantitative field such as Mathematics, Physics, Computer Science, or Financial Engineering from a reputable university
• Strong programming proficiency in Python is essential, familiarity with C++, Java, or R is a plus
• Solid understanding of machine learning techniques (classification, regression, clustering) and statistical modelling. Exposure to Depp Learning or NLP projects is highly advantageous
• 1-3 years of relevant experience in quantitative research or investment within the asset management, hedge fund, or securities industry. Candidates with experience in global markets are encouraged to apply
• Excellent written and verbal communication skills in English
• Ability to articulate complex quantitative concepts clearly
• Strong problem-solving skills and a self-starter attitude with a keen eye for detail