Total 2 finance supervisor job vacancies in Education / Training category in D22 Jurong, Jurong Island, Tuas

The Climate Transformation Programme (CTP) aims to develop, inspire and accelerate knowledge-based solutions and educate future leaders to establish the stable climate and environment necessary for resilient, just, and sustainable Southeast Asian societies.

CTP will generate knowledge and innovation across disciplines including climate and Earth science, ecology, materials science, artificial intelligence, humanities, social sciences and the arts, finance, health, and engineering. It will also translate state-of-the-art scientific results into real world solutions for Singapore, and it will transfer these solutions to Southeast Asia (SEA) and beyond.

As part of this programme, the climate finance Cluster will collect data that measures and price climate risk exposures in financial markets, conduct preliminary data analysis and skillfully manage the projects for documentation purposes; all content is summarised here.

The Research Associate will be based in the Centre for Sustainable Finance Innovation (CSFI) of Nanyang Business School and 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.

The Research Associate's activities are designed to provide a nuanced understanding of how climate change is discussed and documented within the corporate world. By bridging technology and environmental science, the role aims to enhance the strategic responses to climate risks, tailor interventions, and ultimately contribute to the sustainability goals of the region. This position not only demands technical expertise in data science and computational linguistics but also a keen understanding of climate science and strong collaborative abilities to work effectively in a diverse and multi-disciplinary environment.

Key Responsibilities:

• Use computational linguistic tools and machine learning techniques to analyze discussions on climate change in corporate social responsibility reports, conference call transcripts, and the Management Discussion and Analysis section of companies’ annual reports.
• 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.

Job Requirements:

• Master'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 (this is a large team project) 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.

Interested applicants are invited to submit a cover letter, full CV and names and contact details of three referees in one document.

We regret to inform that only shortlisted candidates will be notified.

Nanyang Business School (NBS) invites applications for the position of Senior Research Fellow (Post-doc) with Prof. Xin Chang’s research group. This position is supported by a Tier III grant to establish a Climate Transformation Programme (CTP) at NTU. As part of this programme, the Climate Finance Cluster will assess the multifaceted business risks posed by the physical impacts of climate change, narrow the protection gap, and facilitate the transition to a low-carbon economy.

The Senior Research Fellow will be responsible for developing procedures 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, and seeing this work through to publication in major research journals.

Key Responsibilities:

• Use computational linguistic tools and machine learning techniques to analyze discussions on climate change in corporate social responsibility reports, conference call transcripts, and the Management Discussion and Analysis section of companies’ annual reports
• 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
• Develop a new multifactor asset pricing model containing a climate risk factor, which investors can use to effectively price in climate change risk and hedge climate risk
• Handle data management and statistical analyses
• Work effectively with colleagues from across the CTP, and with local collaborators in ASEAN countries
• Mentor junior colleagues and students
• Handle writing and publication of results in peer-reviewed journals

Job Requirements:

• PhD degree in statistics, computer sciences, economics, or a closely related field
• Excellent knowledge of computational linguistic tools and machine learning techniques
• Experience with data analysis with Python and STATA
• Prior experience in publishing in peer-reviewed business, economic, or scientific journals
• Excellent oral and written communication skills in English
• Ability to work independently to develop research in challenging environments
• Collaborative, with an interest in working with other researchers and scientists (this is a large team project) to produce high-quality and impactful research
• Interest in climate, green, or sustainable finance

Interested applicants are invited to submit a cover letter, full CV and names and contact details of three referees in one document. Enquiries about this position can be made to Nur Masturah ([email protected]).

Review of applications will begin on 15th Jan 2024.

We regret to inform that only shortlisted candidates will be notified.