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Quantitative Analyst for Sustainable Finance
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The Sustainable and Green Finance Institute is a new university-level research institute in the National University of Singapore (NUS), jointly supported by the Monetary Authority of Singapore (MAS) and NUS. We are seeking a talented Quantitative Analyst to join our team of experts in sustainable finance.
As a Quantitative Analyst, you will play a key role in developing data analysis frameworks to analyze structured, unstructured, and non-traditional data related to corporate financial, environmental, and social indicators. You will also be responsible for managing and coordinating project deliverables, ensuring their quality, and managing industry partners' expectations by understanding their needs and providing realistic expectations and scope of each project.
We are looking for someone with a strong background in computing, information systems, economics, business, finance, or related disciplines; a bachelor's degree is required, a master's degree is preferred, and a Ph.D. is required for the Research Fellow position.
A thorough knowledge of the research field of machine learning and artificial intelligence is highly preferred. Programming skills, including knowledge of machine learning and artificial intelligence processes and tools, are highly desired, along with experience in conducting and supporting research and data analysis of research projects.