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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.
Predicting Debt Crisis with Artificial Intelligence and Real-Time Big Data, an inter-disciplinary project funded by the Asian Institute of Digital Finance, is looking for a full-time Postdoctoral Fellow. The Principal Investigators of this project are at Lee Kuan Yew School of Public Policy and NUS School of Computing. The candidate will oversee day-to-day activities and the general management of assigned research projects.
These responsibilities include:
• Conducting academic research on topics related to artificial intelligence, macro finance, and interdisciplinary topics.
• Integrating existing literature to propose research ideas and hypotheses, develop and implement empirical analysis using various statistical software. Methodologies used include machine learning, regression discontinuities, difference-in-difference analyses, among others.
• Working with team members to extract, process, and filter information from various text resources and construct new datasets.
• Processing, cleaning, and merging datasets (e.g., using R, Python, Stata, SPSS, and/or SAS).
• Giving presentations and scheduling meetings with external parties that are relevant to the research projects
• Coordinating and supervising research assistants to help in the responsibilities stated above.
- A PhD degree in econometrics, economics, finance, or other related fields.
- Experience of conducting interdisciplinary research. Relevant experience in international finance, public finance, and econometrics would be a plus.
- Familiar with statistical software such as STATA, R, or Python, advanced programming skill is a plus.
- Responsible, detail oriented, and perfection-seeking.
- Quick in learning and creative in providing solutions.
- Independent, self-starter with initiative and commitment.
- Enjoys interacting with people and open to new experiences.
- Must have the ability to proactively manage teams of research assistants across on multiple research activities.
The candidate is expected to be physically present in NUS office during the stipulated working hours. Software and tools required for data analysis will be made available.
The earliest start date of the appointment is May 2024. Appointments will be on a term-contract of one year, and renewable when necessary. Salary will commensurate with the candidate’s qualifications, track record, potential, experience.
Interested applicants should send a cover letter, curriculum vitae with complete contact information and any supporting documents.
Should you be shortlisted, a faculty member or an administrator will be contacting you directly for an interview.
Applications will be accepted until the position is filled.
Official account of Jobstore.
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 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 the financial sector, particularly in the area of sustainable, responsible, and green investing and valuation. The responsibilities of the role will include designing and developing a framework to distill various information regarding corporate sustainability efforts and performance into various metrics that can be analyzed further to support decision making in the corporate, financial, and societal spheres.
There are no teaching obligations for this position, and the candidate will have the opportunity to develop their research portfolio.
The successful candidate will be expected to assume the following responsibilities:
Official account of Jobstore.
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 Asian Institute of Digital Finance (AIDF) is a university-level institute in the National University of Singapore (NUS), jointly founded by The Monetary Authority of Singapore (MAS), the National Research Foundation (NRF) and NUS. AIDF aspires to be a thought leader, a FinTech knowledge hub, and an experimental site for developing digital financial technologies as well as for nurturing current and future FinTech researchers and practitioners in Asia.
The Research Assistant will be responsible for working closely with the Principal Investigator on quantitative finance and fintech research projects. In particular, the research assistant is going to develop Machine Learning/Reinforcement Learning methods and apply them in the field of quantitative finance and risk management.
Official account of Jobstore.
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.
I am looking for one highly skilled and motivated individuals to work with me as full-time research professionals for a period of at least one year. The start date is subject to negotiation, but may be as early as 1 March 2024.
You will work with NUS Business School Professor Karsten Müller at the Department of Finance. For the most part, you will support Karsten’s ambitious research agenda on the link between credit markets and the real economy. This work uses macro and micro data and cutting-edge statistical methods to understand the drivers and consequences of who in the economy receives credit. Among other things, you will help to (a) construct novel data sources to measure credit market conditions, (b) analyse data to document the role of credit markets in recessions and stock market crashes, and (c) analyse the effectiveness of financial policies and credit subsidies in stimulating economic growth.
You will work with us on a variety of tasks, including data collection and analysis, statistical programming and data visualization, conducting literature reviews, summarizing research findings and policy documents, and editing research papers. This position is ideal for individuals with strong interpersonal skills, the ability to manage themselves and others, and an interest in economic research.
The position is based in Singapore. A successful candidate will be able to participate in the academic life at NUS, including the ability to attend research seminars and potentially PhD courses. I will support you in achieving your interests and goals, which for many candidates will mean applying to world-leading Master’s and PhD programmes, policy organizations, or industry jobs. NUS provides equal employment opportunities to all employees, applicants, and job seekers.
Ideal candidates will:
(i) have a strong background in economics, finance, or a related field;
(ii) have proven organizational skills;
(iii) be able to work independently to solve problems; and
(iv) are highly organized and pay attention to details.
A background in economics or finance is a plus but not necessary. The ideal candidate will be highly motivated and self-directed, adept at learning new technical skills when needed.
Candidates should submit the following documents:
• Cover letter and resume
• Transcripts from previous academic programs, where relevant
• If available: A research paper (undergrad thesis, term paper, etc.)
• If available: Sample of code (ideally for same paper)
Applications will be reviewed on a rolling basis.
Official account of Jobstore.
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 Asian Institute of Digital Finance (AIDF) is a university-level institute in the National University of Singapore (NUS), jointly founded by The Monetary Authority of Singapore (MAS), the National Research Foundation (NRF) and NUS. AIDF aspires to be a thought leader, a FinTech knowledge hub, and an experimental site for developing digital financial technologies as well as for nurturing current and future FinTech researchers and practitioners in Asia.
Location: Kent Ridge Campus
Organization: Asian Institute of Digital Finance
Department : Research
Employee Referral Eligible: No
Job requisition ID : 22728
Official account of Jobstore.
Interested applicants are invited to apply directly at the NUS Career Portal.
We regret that only shortlisted candidates will be notified.
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 the financial sector, particularly in the area of sustainable, responsible, and green investing and valuation. The responsibilities of the role will include designing and developing a framework to distill various information regarding corporate sustainability efforts and performance into various metrics that can be analyzed further to support decision making in the corporate, financial, and societal spheres.
There are no teaching obligations for this position, and the candidate will have the opportunity to develop their research portfolio.
The successful candidate will be expected to assume the following responsibilities:
Official account of Jobstore.
Interested applicants are invited to apply directly at the NUS Career Portal.
We regret that only shortlisted candidates will be notified.
Job Description
I am looking for up to two highly skilled and motivated individuals to work with me as full-time research professionals for a period of at least one year. The start date is subject to negotiation, but may be as early as 1 November 2023.
You will work with NUS Business School Professor Karsten Müller at the Department of Finance. For the most part, you will support Karsten’s ambitious research agenda on the link between credit markets and the real economy. This work uses macro and micro data and cutting-edge statistical methods to understand the drivers and consequences of who in the economy receives credit. Among other things, you will help to (a) construct novel data sources to measure credit market conditions, (b) analyse data to document the role of credit markets in recessions and stock market crashes, and (c) analyse the effectiveness of financial policies and credit subsidies in stimulating economic growth.
You will work with us on a variety of tasks, including data collection and analysis, statistical programming and data visualization, conducting literature reviews, summarizing research findings and policy documents, and editing research papers. An important part of this position will managing several small teams of part-time research assistants. As such, this position is ideal for individuals with strong interpersonal skills, the ability to manage themselves and others, and an interest in economic research.
The position is based in Singapore. A successful candidate will be able to participate in the academic life at NUS, including the ability to attend research seminars and potentially PhD courses. I will support you in achieving your interests and goals, which for many candidates will mean applying to world-leading Master’s and PhD programmes, policy organizations, or industry jobs. NUS provides equal employment opportunities to all employees, applicants, and job seekers.
Ideal candidates will:
(i) have a strong background in economics, finance, or a related field;
(ii) have proven organizational skills;
(iii) be able to work independently to solve problems; and
(iv) are highly organized and pay attention to details.
A background in economics or finance is a plus but not necessary. The ideal candidate will be highly motivated and self-directed, adept at learning new technical skills when needed.
Candidates should submit the following documents:
• Cover letter and resume
• List of two or more references
• Transcripts from previous academic programs, where relevant
• If available: A research paper (undergrad thesis, term paper, etc.)
• If available: Sample of code (ideally for same paper)
Applications will be reviewed on a rolling basis.
Working Conditions
Office, library, computer room
Physical Effort
Typically sitting at a desk or table
Department / School
NUS Business School
Pay
Competitive with other world-leading research universities
Special Requirements
Background check required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job.
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