Interested applicants are invited to apply directly at the NUS Career Portal
Your application will be processed only if you apply via NUS Career Portal
We regret that only shortlisted candidates will be notified.
The Role
The Sustainable and Green Finance Institute (SGFIN) 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. SGFIN aspires to develop deep research capabilities in sustainable and green finance, provide thought leadership in the sustainability space, and shape sustainability outcomes across the financial sector and the economy at large.
This role is ideally suited for those wishing to work in academic or industry research in quantitative analysis, particularly in the area of machine learning and artificial intelligence. The responsibilities of the role will include designing and developing various analytical frameworks to analyze structure, unstructured and non-traditional data related to corporate financial, environmental, and social indicators.
There are no teaching obligations for this position, and the candidate will have the opportunity to develop their research portfolio.
Duties and Responsibilities
The successful candidate will be expected to assume the following responsibilities:
- Design research projects in close collaboration with the Institute’s Directors (Prof. Sumit Agarwal / A.Prof Johan Sulaeman / A.Prof Zhang Weina) and Research Affiliates
- Take ownership and responsibility for the successful delivery of research projects, ensuring they are completed within the required deadline and allocated budget, and meeting/exceeding project specifications and targets
- Participate in pre-project activities such as identifying required resources to ensure project completion including staffing and organizational needs of the project team, and preparing high-level project plans with project timeline and resource requirements
- Development of data analysis frameworks.
- Plan, supervise and perform (if necessary) the development of supervised and unsupervised machine learning tools to process information from various data sources, including commercial databases and alternative, non-traditional datasets.
- Plan, supervise and perform (if necessary) the generation of impact measures using machine learning, in collaboration with the Institute’s Directors and other Research Fellows.
- Monitor progress of research projects and provide necessary interventions to ensure smooth completion of each project
- Manage and coordinate project deliverables, ensuring their quality
- Manage industry partners’ expectation by understanding their needs and providing realistic expectations and scope of each project
- Manage the collaborations with research and industry stakeholders, including providing periodic progress updates and deliverables for grant funding body or project sponsors
- Preparation of results for industry communications, presentations, and academic articles for journal publications
- Guide, mentor, and supervise research associates on the project team
- Work closely with the rest of the SGFIN team to support SGFIN’s activities and objectives
