CRI 诚邀应届毕业生以及有经验的专业人士加入我们的团队。我们也鼓励在校学生申请我们常年的实习生项目。 我们将为您提供最为前沿的信用风险研究与管理的工作经历。 请查阅岗位空缺并根据申请指南发送简历给我们。
CRI的实习生计划对全世界都开放,各种专业的本科或硕博士等都欢迎申请。
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 eileenw@nus.edu.sg.
We regret that only shortlisted candidates will be notified.
For more information about CRI, please visit CRI Website
Be part of a dynamic team in analysing risk in today’s financial markets. An opportunity exists to join the Risk Management Institute (RMI) as a Research Analyst / Associate in the Credit Research Initiative (CRI). You will compute and publish probabilities of default (PD) of listed firms globally based on RMI’s quantitative model, and contribute to the on-going research and development of the model. This is a cross-functional role that requires the exploration of different dimensions of risk management. It will challenge successful applicants and is a great learning and development opportunity.
Career Benefits:
Successful applicant can look forward to join one of the team(s) below.
Responsibilities:
Requirements:
The Product Management Team (PMT) manages and produces various credit risk products and plays a key role at CRI. PMT is mainly involved in implementing, maintaining and improving scientific computation models for CRI products. Successful candidates will have the opportunity to quickly learn the modelling approaches, mathematical algorithms and programming skills utilized for CRI’s credit risk research work.
Responsibilities:
Requirements:
The Client Services Team (CST) bridges the gap between the CRI 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 CRI models and services, and exposure in handling projects and inquiries from institutional clients such as supranational organization, international banks and FinTech companies.
Responsibilities:
Requirements:
The Validation Team (VT) handles the assessment of models servicing a wide range of activities across the CRI, 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 CRI’s assessment and evaluation of credit risk models.
Responsibilities:
Requirements:
The Market Monitoring Team (MMT) is a window to continually observe financial markets and conduct relevant studies by using proprietary methods with the aim to promote CRI’s products and relate to current market events. As a member in the MMT, the candidate will quickly gain knowledge to CRI models as well as develop a greater understanding on financial markets from a credit perspective. The main tasks will be to conduct researches and financial/credit analysis on industries and companies, market surveillance for credit events and working on projects with other teams. You will have ample opportunities to improve your writing and analytical skills. Through working with other teams, you will also learn quantitative modelling and acquire useful IT and database knowledge preparing you to become a better functioning analyst who can leverage modern analytical tools.
Responsibilities:
Requirements:
The Data Management Team (DMT) takes care of all the data related needs at CRI, which acts as a data provider to all the other teams.
Responsibilities:
Requirements:
The Development Team continuously improves CRI’s in-house models and systems, and develops new applications. As a member of the Development Team, the candidate should have an in-depth understanding about CRI products and always keep an open mind to new things. The job scope ranges from data analysis, modeling, building production systems, and almost all tasks leverage heavily on programming. We welcome candidates who possess relevant technical skills and enjoy the challenging and exciting working environment.
Responsibilities:
Requirements:
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.
The Credit Research Initiative (CRI) in the Risk Management Institute of National University of Singapore offers internships to highly motivated students, both undergraduate and postgraduate, who want to acquire work experience and advanced knowledge on credit risk management. CRI is a balanced combination of scientific research and business services. Over the course of its developments, it has produced top-tier original research and has helped a number of corporates, financial institutions and international organizations to solve real-world problems. For example, the CRI right now collaborates with the International Monetary Fund (IMF) in multiple projects. Its Bottom-up Default Analysis (BuDA) toolbox has been applied in a number of IMF stability assessments in various national contexts with rich policy implications.
Interns will have ample opportunities to develop marketable skills. Through working with different quantitatively oriented teams, you will have opportunities to learn quantitative modelling, mathematical algorithms and general programming skills utilized on the frontier of CRI’s credit risk research and services. You may also develop valuable market insights as part of the Market Monitoring Team (MMT), which is watching over the global credit markets daily. As a member of the Client Services Team, you get to interact with industry professionals through various tasks in supporting the CRI clients. If working/learning in a dynamic and exciting environment appeals to you, please do not hesitate to join us.
Successful applicant can look forward to join one of the team(s) below.
The Client Services Team (CST) bridges the gap between the Credit Research Initiative (CRI), external users and industry clients by offering tailored solutions to suit their business needs. As a member in the CST, the candidate will quickly gain knowledge to CRI models and services, and exposures in handling projects and inquiries from institutional clients such as supranational organization, international banks and FinTech companies.
Main Responsibilities:
Requirements:
The Development Team (DT) of the Credit Research Initiative (CRI) in the Risk Management Institute (RMI) continuously improves CRI’s in-house models and systems, and develops new applications. As a member of the Development Team, the candidate should have an in-depth understanding about CRI products and always keep an open mind to new things. The job scope ranges from data analysis, modeling and website/API design, and almost all tasks leverage heavily on programming. We welcome candidates who possess relevant technical skills and enjoy the challenging and exciting working environment.
Main Responsibilities:
Requirements:
The Validation Team (VT) handles the assessment of models servicing a wide range of activities across the CRI, 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 CRI’s assessment and evaluation of credit risk models.
Main Responsibilities:
Requirements:
The Market Monitoring Team under the Credit Research Initiative (CRI) in Risk Management Institute (RMI) is a window to continually observe financial markets and carry relevant studies by using proprietary methods, aiming at promoting and improving CRI’s products. The main task for interns is assisting full-time analysts in terms of market surveillance, writing reports, data collection, and collaborating with other teams, etc.
Main Responsibilities:
Requirements:
The Product Management Team (PMT) manages and produces various credit risk products and plays a key role at CRI. PMT is mainly involved in implementing, maintaining and improving scientific computation models for CRI products. Successful candidates will have the opportunity to quickly learn the modelling approaches, mathematical algorithms and programming skills utilized for CRI’s credit risk research work.
Main Responsibilities:
Requirements:
The Data Management Team (DMT) takes care of all the data related needs at CRI, which acts as a data provider to all the other teams.
Main Responsibilities:
Requirements:
Interested applicants, please email your application to Dr Zeng Jiajie at zengjiajie@nus.edu.sg
We regret that only short listed candidates will be notified.