Research Analyst / Associate

  • Between $3 - 5K per month
  • Singapore Singapore Singapore SG
  • Contract, Full time
  • NUS Risk Management Institute
  • 22 May 18 2018-05-22

Be part of a dynamic team in analysing risk in today’s financial markets. An opportunity exists to join the NUS 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:

  • Gain a detailed understanding of a cutting-edge quantitative credit risk model being pioneered by NUS RMI under the Credit Research Initiative (CRI).
  • Further your knowledge in quantitative modeling and financial analysis.
  • Gain experience in emerging technologies (e.g. cloud/grid computing, GPU computing, FPGA).
  • Benefit from a world-class research environment at the forefront of credit risk, with a motivated research team a well-established network.

Successful applicant can look forward to join one of the team(s) below.



The Client Services Team of the Credit Research Initiative (CRI) in the Risk Management Institute of National University of Singapore provides tailored data and credit analytics solutions to financial institutions, supranational agencies, central banks and corporates across the globe via direct approach and through partnership with data distributors and FinTech firms.

The candidate should have a thorough understanding about CRI products, and are comfortable with presenting and negotiating with the institutional clients. As a member in the Client Services Team, the candidate will be handling client accounts and client’s requests through the whole sales cycle. We welcome the candidates who enjoy the dynamic and exciting working environment.


  • Be familiar with CRI models, data and solutions.
  • Prepare marketing materials, RFP, presentation slides and case studies.
  • Build good relationship with clients and to provide value-added services.
  • Coordinate well with other teams to provide prompt and efficient services to clients.
  • Handle ad-hoc projects and clients’ inquiries.
  • Initiate new projects to enhance project management and operational efficiency.


  • 2-5 years of working experiences in business development, sales, or consulting in financial industry or data/solutions vendors.
  • Solid understanding of credit ratings, credit risk, quantitative models and financial analysis.
  • Proficient in spoken/written English, other language is a plus. 
  • Possess strong analytical skills and problem-solving skills.
  • Must be a keen learner and proactive in nature.
  • A good team player with a strong sense of responsibility.
  • High efficiency, and able to manage multiple tasks and projects concurrently.
  • Possess good communication and interpersonal skills.
  • Proficient in Microsoft Office suite, knowledge in VBA, SQL, MATLAB is a plus.


The Market Monitoring Team (MMT) of the Credit Research Initiative (CRI) in the Risk Management Institute of National University of Singapore 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 is doing research on industries and companies with investment and credit analysis, implementing market surveillance 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.


  • Conduct fundamental research and write credit/investment research reports on companies and industries in a timely manner.
  • Carry out market surveillance by browsing media and official websites, finding out credit events in accordance with CRI’s credit event definition, creating credit event data in the database, etc.
  • Initiate and manage inter-team projects.
  • Deal with urgent, ad-hoc requests from supervisors.


  • Be meticulous and responsible for routine works.
  • Academic background or industry experience of any of the following subjects is preferred: finance, accounting, economics, banking, business strategy, and business law. Certification of CFA or CPA is a plus. Candidates working in non-financial industry are also welcome.
  • Be good at Excel modelling, financial analysis and spoken/written English.
  • Good team player with a strong sense of responsibility.
  • Able to independently write and edit financial research reports.
  • Able to coordinate and manage group projects between teams.
  • Able to handle pressure and meet deadlines.


The IT & Data Management Team (IDMT) of the Credit Research Initiative (CRI) in the Risk Management Institute of National University of Singapore acts as a backbone to the CRI as the main function is to make available the IT infrastructure and databases up and running at their best at all times to all its internal users.

IDMT consists of IT administration and data management. The IT administration team's tasks include server maintenance to database installation so as to provide optimal system performance. The Data management team takes care of all the data related needs at CRI, which acts as a data provider to all the other teams working under CRI.

Through working with other teams, you may also learn quantitative modelling, mathematical algorithms and general programming skills utilized on the frontier of CRI’s credit risk research. Interacting with the Market Monitoring Team (MMT), which is watching over the global credit markets daily, will likely provide you with their valuable insights beyond quantitative figures.


  • Daily monitoring of operating process.
  • Importing data from various financial sources (Bloomberg, Thomson Reuters, etc.) into the database.
  • Investigation of suspicious data and data cleaning.
  • Modification of data generating process to cater to changing operating requirements
  • Creating and improving database elements for higher efficiency of the processes and quality of data (using MSSQL, MySQL)
  • Perform ad-hoc data related tasks as requested by other teams or clients.


  • Knowledge and experience with SQL (T-SQL, MySQL), MATLAB, and Julia
  • Knowledge in Python and Bloomberg Terminal is a plus.
  • Possess strong analytical and problem solving skills.
  • Ability to work independently as well as part of a team as well as communicating effectively both orally and in writing.
  • Proactive in nature, quick response in case of operational issues, and has a strong sense of responsibility.
  • A keen learner and a strong interest in data management.

Database Administrator


Database Development and Maintenance

  • Importing data from various financial sources (Bloomberg, Thomson Reuters, etc.) into the database.
  • Analyzing, cleaning and de-duping data.
  • Transforming source data into standardized formats for inclusion in the master database.
  • Designing and developing using database management systems and related platforms and tools (e.g., MS SQL Server, SSIS, T-SQL, etc.) and stored procedures that fulfil the technical and business requirements.
  • Validating processed results generated on a daily/monthly basis.
  • Perform ad-hoc data related tasks as requested by other researchers.

 Database Administration

  • Perform database query optimization.
  • Identifying and correcting issues relating to database performance, reliability, and scalability.
  • Perform regular database backups.
  • Perform index maintenance.


  • Strong knowledge in SQL and significant experience working with one or more relational databases, preferably Microsoft SQL Server.
  • Knowledge and experience with various data transfer formats such as csv, xlsx, etc.
  • Knowledge of at-least one ETL tool preferably SSIS.
  • Experience in programming with Python would be a plus, although not a requirement.
  • Possess strong analytical and problem solving skills.
  • Possess strong interpersonal, organizational and planning skills.
  • Must be a keen learner, proactive in nature and possess a strong sense of responsibility.

This is a data intensive work activity and requires someone who genuinely enjoys working with data and the challenge of managing a live database. The work largely consists of interactive use of SQL to perform standard ETL processes.


Interested applicants should submit their applications electronically to Please refer to for more information. Your application should include:

  1. Application Form;
  2. NUS Personal Data Consent for Job Applicants;
  3. A detailed CV;
  4. Cover letter.