The CRI invites fresh graduates and experienced professionals to seek career opportunities with us. We are committed to providing unparalleled professional experience in the field of credit research and credit risk management. Please check out the current vacancies and submit the applications as instructed.
The Credit Research Initiative (CRI) team is a world leader in studying and applying the modern data analytics and conventional economic/financial models to credit risk analysis. We invite Ph.D. candidates/holders from quantitative disciplines to apply for the Research Fellowship.
The CRI is committed to achieving academic excellence and practical relevance. It was launched after the 2008-2009 financial crisis and premised upon the concept of credit ratings as a public good. Over the course of its developments, it has produced top-tier original research and has helped a wide range of financial institutions, supranational organizations and FinTech companies to solve real-world problems. In collaboration with the International Monetary Fund (IMF), the CRI has developed an automated stress-testing tool based on the CRI PD system – the Bottom-up Default Analysis (BuDA) toolkit. Together with a Singapore-based FinTech company, our technology is extended to help build its credit rating system for Small and Medium-sized Enterprises (SMEs). The CRI team joins the Asian Institute of Digital Finance in NUS in 2020 and currently actively pursues a research project on Natural Language Processing (NLP) to extract credit-focused sentiments in media to complement the structured financial and behavioural data. Looking into the future, the CRI will continue to make the most of data analytics, further automate the system and make the products more actionable for various users.
Applicants should submit their applications electronically to sushan.w@nus.edu.sg.
We regret that only shortlisted candidates will be notified.
For more information about CRI, please visit CRI Website
The Asian Institute of Digital Finance (AIDF) is a university-level institute at 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 at the forefront of research-driven Fintech innovation in Singapore by acting as an experimental site for developing digital financial technologies, as well as nurturing current and future Fintech researchers and practitioners in Asia.
The Credit Research Initiative (CRI), one of the flagship research initiatives under AIDF, is a non-profit undertaking founded in 2009. Pioneering the "public good" credit risk measure, the initiative is committed to advancing big data analytics and providing directly useful credit intelligence to academic and professional communities. Our clients include international regulatory authorities (such as the IMF and MAS) and multinational financial institutions around the world.
An exciting opportunity exists to join NUS-AIDF as a Research Analyst/Associate under different teams involved with big-data analytics. You will participate in the production of our data products and contribute to the ongoing research and development of the flagship NUS-CRI Probability of Default model. This opportunity will challenge successful applicants and is a great learning and development opportunity for those interested in finance and risk management.
Career Benefits:
1. PRODUCT MANAGEMENT TEAM
The Product Management Team (PMT) manages and produces various credit risk products, which include PD, AS, DTD, Crisifi and so on. PMT plays a key role and is involved in implementing, maintaining, and improving scientific computation models for products as well as for clients. Successful candidates will have the opportunity to quickly learn the modelling approaches, mathematical algorithms, and programming skills utilized for credit risk research work.
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2. DATA MANAGEMENT TEAM
The Data Management Team (DMT) acts as a backbone to the CRI as the main function is to design and manage the CRI database and ensures the quality of CRI's data. As a member of the Data Management Team, the candidate should have an in-depth knowledge of database and financial data structure. Successful candidates could contribute to the improvement of ETL process and would have the opportunity to develop programming and data analytic skills for credit research work.
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3. MARKET MONITORING TEAM
The Market Monitoring Team (MMT) is a window to continually observe financial markets and carry relevant studies by using proprietary methods, aiming at promoting and improving the products and publications of NUS-CRI. The main task for full-time analysts is to lead market surveillance, writing reports, data collection, and collaborating with other teams to run research projects that enhance market surveillance, etc.
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4. DEVELOPMENT TEAM
The Development Team (DT) continuously improves in-house models and systems and develops new applications. As a member of the Development Team, the candidate should have an in-depth understanding of products and always keep an open mind to new things. The job scope ranges from data analysis, modelling, building production systems, and all tasks leverage heavily on programming. We welcome candidates who possess relevant technical skills and enjoy the challenging and exciting working environment.
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5. IT OPERATIONS - SYSTEMS ADMINISTRATOR
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6. CLIENT SERVICES TEAM
The Client Services Team (CST) bridges the gap between the AIDF (Asian Institute of Digital Finance) and external users and industry clients by offering tailored solutions to suit their needs. As a member in the CST, the candidate will quickly gain knowledge to our models and services, and exposure in handling projects and inquiries from institutional clients such as supranational organization, international banks and FinTech companies.
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7. VALIDATION TEAM
The Validation Team (VT) handles the assessment of models servicing a wide range of activities, including Probability of Default, Actuarial Spread, and Stress Testing models. As a member in the Validation Team, you will work on a variety of models covering many aspects of the model life cycle, including data management, methodology, programming, and quantitative assessment. Successful candidates will contribute to the assessment and evaluation of credit risk models.
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Application Details:
Applicants should submit their applications electronically to the team lead of the team that they are interested in. (Please refer to the CRI Team. Your application should include:
We regret that only shortlisted candidates will be notified.
Location:
National University of Singapore (NUS), Singapore
About Us:
The NUS Asian Institute of Digital Finance (AIDF) is a leading fintech research center committed to advancing the frontiers of digital finance. Our team at the Credit Risk and Intelligence (CRI) unit focuses on leveraging cutting-edge technologies to enhance financial risk assessment and management.
Position Overview: We are seeking a skilled Data Engineer to join our CRI team. The ideal candidate will have substantial experience in data engineering and ETL processes, with strong backend development skills and robust database knowledge. You will be working with technologies such as MySQL, Nifi, SQL Server, SSIS, and Google Cloud.
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