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Sustainable Finance Analyst
1 month ago
Nanyang Technological University (NTU) is a premier research university in Singapore. As a leading institution for education and research, we are committed to addressing the most pressing challenges of our time.
We offer a competitive salary package to attract and retain top talent. The estimated annual salary for this position is around SGD 60,000 - SGD 80,000, depending on qualifications and experience.
Job Description:
The Centre for Sustainable Finance Innovation (CSFI) at Nanyang Business School is seeking a Project Officer to join our team. This is an exciting opportunity to work with us in developing innovative solutions for sustainable finance.
In this role, you will be responsible for developing preliminary data analysis to measure and price risks arising from climate change suitable for each company so that climate risk can be managed by companies and hedged by investors.
You will also be working closely with colleagues from across the Climate Transformation Programme (CTP) and local collaborators in ASEAN countries to produce high-quality and impactful research.
Key Responsibilities:
- Analyze discussions on climate change in corporate social responsibility reports, conference call transcripts, and the Management Discussion and Analysis section of companies' annual reports using computational linguistic tools and machine learning techniques.
- Construct a dataset that can produce a climate risk fact sheet containing essential information about various climate risk exposure (e.g., drought, flooding) of a region or a city.
- Handle data management and statistical analyses.
- Work effectively with colleagues from across the CTP, and with local collaborators in ASEAN countries.
Requirements:
- Bachelor's Degree in data analytics or a closely related field.
- Ability to work independently to develop research in challenging environments.
- Collaborative, with an interest in working with other researchers and scientists to produce high-quality and impactful research.
- Interest in climate, green, or sustainable finance.
- Excellent knowledge of computational linguistic tools and machine-learning techniques.
- Experience with data analysis with Python and STATA.
- Excellent oral and written communication skills in English which is essential to conduct research.
We regret to inform that only shortlisted candidates will be notified.
