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:
- Gain a detailed understanding of a cutting-edge quantitative credit risk model.
- Further your knowledge in quantitative modeling and financial analysis.
- Involve yourself in emerging technologies (e.g. cloud/grid computing, GPU computing, FPGA) in the Fintech field.
- Benefit from a world-class research environment at the forefront of credit risk, with a motivated research team and a well-established network spanning across a multitude of industries.
- Opportunities to interact with and learn from financial and tech professionals, industry experts, and thought leaders.
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.
Responsibilities:
- Maintain and simplify Production System.
- Analyze and interpret the credit risk measures.
- Improve the developed scientific computation of credit risk measures such as Distance to Default (DTD), Probability of Default (PD), and Actuarial Spread (AS).
- Develop and improve practical credit risk management tools such as stress testing/scenarios analysis.
- Deal with urgent or ad-hoc requests, such as the changes of model and the data request from clients or researchers.
Requirements:
- Preferably major in the areas of finance, economics, statistics, mathematics, mechanical engineering, computer science, physics, or similar discipline.
- Experience in Julia, MATLAB, and GitLab is preferred. Other languages, e.g., C++ or Python, are welcome, but will be requested to learn/use Julia or MATLAB.
- Must be a keen learner, proactive in nature, and a strong responsibility person.
- Strong analytical techniques and problem-solving skills.
- Able to work independently and across different teams.
- Possess strong interpersonal, organizational, and planning skills.
- Knowledge of Financial Statement, SQL, VBA, and Bloomberg Terminal would be a plus.
- Able to handle pressure and meet deadlines.
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.
Responsibilities:
- Daily monitoring of operating processes.
- Investigation of suspicious financial data and data cleaning.
- Modification of data generating process to cater to changing operating requirements.
- Improve data ETL process from various financial sources (Bloomberg, Refinitiv Eikon, etc.)
- 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.
Requirements:
- Preferably major in quantitative finance, mathematics, mechanical engineering, computer science, physics, or similar discipline.
- Knowledge and experience with SQL, Python, MATLAB, and Julia.
- Knowledge of Java 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 keen sense of responsibility.
- A keen learner and a strong interest in data management.
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.
Responsibilities:
- Carry out market surveillance by browsing media and official websites, finding out credit events in accordance with CRI’s credit event definition, entering credit event data in the database, etc.
- Follow crucial market news and assist in writing weekly, quarterly and other special reports on credit market issues.
- Lead projects and improvements in daily operations
- Deal with urgent and/or ad-hoc requests from supervisors.
Requirements:
- Be meticulous and responsible for routine work.
- Have an academic background or industry experience in any of the following subjects: economics, finance, accounting, banking, business strategy, and business law, etc.
- Be good at Excel modeling, financial analysis, and written English.
- Have a proven ability to independently write and edit financial research reports.
- Be strongly interested in the fields of investment/ credit/ risk management analysis in the future career.
- Being multilingual will be a plus.
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.
Responsibilities:
- Have a deep understanding of various models and products. Actively monitor model performances and research on improvements and innovative ideas.
- Design and build robust and readable codes for production usage to implement research outcomes.
- Author theoretical paper to disseminate research findings. Make demos and presentations internally and externally.
- Collaborate closely with the Client Service Team and develop proof of concept models at a fast pace to accommodate clients’ needs.
- Review weekly credit brief and provide insights.
Requirements:
- Bachelors or Masters in statistics, mathematics, quantitative finance, or related discipline.
- Proficient programming skills such as Julia, Python, MATLAB, R, etc. Experience with building APIs or load balancers will be a plus.
- Keen sense of responsibility. Good team player.
- Able to work within fast moving, multi-tasking environments. Be proactive and passionate about building and developing innovative ideas and models.
- Ability to read and understand methodologies in research papers. Able to author research papers and good presentation skills.
5. IT OPERATIONS - SYSTEMS ADMINISTRATOR
Responsibilities:
- Perform regular server and workstation maintenance and upgrades, for both hardware and software.
- Implement and maintain cybersecurity controls and protocols on all IT assets.
- Procurement of new IT assets, maintaining existing ones, and decommissioning of EOL assets.
- Manage and audit user accounts and permissions.
- Coordinate with different internal teams within CRI to align, recommend, and procure any IT requirements essential to upcoming projects.
- Work with the auditor to implement and maintain business continuity plans for CRI’s IT infrastructure.
- Provide technical support to users daily.
Requirements:
- Preferably major in Computer Science, Information Technology, or similar discipline.
- Experience with administering Windows Server and Windows 7/8/10 operating systems.
- Familiarity with Unix, SQL, Python, and AWS (or other cloud services) is a plus.
- Experience in troubleshooting and resolving computer hardware and software issues.
- Strong customer service ethos along with great organizational, interpersonal, and communication skills.
- Enthusiasm for continual learning and always open to feedback.
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.
Responsibilities:
- Be familiar with the CRI model and solutions.
- Prepare marketing materials, RFP (Request for Proposals), presentation slides and case studies.
- Build good relationships with clients and 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.
Requirements:
- Academic background of the following subjects is preferred: finance, economics, business, marketing, or related discipline. Candidates who are interested in the financial industry are welcome.
- Solid understanding of credit ratings, credit risk, quantitative models, and financial analysis.
- Proficient in spoken/written English.
- Possess strong analytical skills and problem-solving skills.
- Possess effective communication and interpersonal skills.
- A good team player with a keen sense of responsibility.
- High efficiency, and able to manage multiple tasks and projects concurrently.
- Proficient in Microsoft product suite, knowledge of VBA, Photoshop and video making are a plus.
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.
Responsibilities:
- Independent evaluation of existing risk models including PD, AS and Stress Testing models.
- Assist with the delivery of the validation plan, ensuring timely identification of issues.
- Quantitative assessment of model performance via data evaluation and statistical testing.
- Coordination with internal stakeholders on model issues, achieving suitable resolutions.
- Deal with urgent and/or ad-hoc requests.
Requirements:
- Preferably major in the areas of Economics, Statistics, Mathematics, Finance, Physics, Computer Science, or similar discipline.
- Proactive attitude, keen sense of responsibility.
- Independent thinker and fast learner, strong interest in credit risk analysis.
- Curious, with the ability of speaking up and challenging perceived wisdom.
- Strong focus on quality control and attention to detail.
- Familiarity with MATLAB, Python, or R.
- Experience in SQL, VBA, or Julia is a plus.
8. NLP-AD (Natural Language Processing Enabled Alternative Data) Team
The NLP-AD Team aims to utilize existing and develop new Natural Language Processing (NLP) techniques to extract issue-centric sentiments expressed through the business press, social media, financial reports as well as in official documents, such as government reports. This specialized opportunity allows you to get hands-on experience on how to augment financial analysis (e.g., credit risk management, sustainable finance sentiments, and fraud detection etc.) and use novel machine learning techniques at an innovative research institution. We welcome candidates who are self-motivated and enjoy a challenging working environment.
Career Benefits:
- Further your knowledge in deep learning methods and sentiment analysis.
- Gain a detailed understanding of a cutting-edge quantitative credit risk model being pioneered by the AIDF Credit Research Initiative (CRI).
- Gain experience with deep learning libraries such as Pytorch, Tensorflow, MXNet, etc
- Gain experience in emerging technologies (e.g., cloud/grid computing, GPU computing)
- Benefit from a world-class research environment at the forefront of credit risk, with a motivated research team a well-established network.
Main Responsibilities:
- Generate sentiments in different languages, such as English, Chinese, etc.
- Conduct sentiment analysis and evaluate media sentiment’s incremental contributions in various fields.
- Design and build robust and readable codes for production usage.
- Review and complete programming scripts, mostly in Python, some in C++.
- Assist with Ad Hoc research projects that aim to propel the institution’s capabilities.
Requirements:
- Preferably major around machine learning, statistics, computer science, mathematics, quantitative finance, or related discipline.
- Basic knowledge of relational and non-relational database, such as SQL, mongoDB, etc.
- Proficient programming skills in Python, etc. C++ would be a bonus.
- Self-motivated and a keen sense of responsibility.
- Able to work within fast moving, multi-tasking environments. Be proactive and passionate about building and developing innovative ideas and models.
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.