Financial Institution Transactions Platform
| Department | Capital Markets Intermediaries II (CMI II) |
| Preferred internship window | Summer Internship: May to October 2022 |
| Description of Project | MAS is embarking on a new platform to provide financial institutions (FIs) with a single touchpoint for their interactions with MAS. This includes developing a whole new user interface from scratch; integrating with existing MAS transaction systems to provide FIs with a consolidated view of their upcoming tasks and status of ongoing submissions; building a secure correspondence module; and creating generic components so that transactions currently conducted off systems (eg. via email) can mix and match components to digitalise their transactions quickly. This is a relatively new team (<1yr old) and you will be involved in seeing the product through to at least beta testing in production with a small number of actual users. |
| Expected deliverables for the project | The platform is being built as a product, and aims to deliver a fully functional product as quickly as possible. You will work on a small team with a product manager, 1-2 designers, and 4-8 developers. You will be treated as one of our developers with your own user stories that you will be personally responsible for delivering. In addition, you will be expected to participate in the following activities: Solution brainstorming based on identified opportunities; Setting up quick experiments to compare solutions' feasibility and ability to meet problem statements; Building out identified solution features; Writing test scripts under a Test Driven Development model; Pair programming with an experienced developer; Pushing code through a CI/CD DevSecOps pipeline; and listening in on user interviews. |
| Experience and/or skills that the intern(s) may gain from the internship | Agile product development & delivery; Continuous product discovery process; Working in a small, cross-functional team; Collaborating across teams with different objectives; Test driven development; Pushing code through a DevSecOps pipeline from development to QA to production environment; Creation of microservices; Software development lifecycle |
| Pre-requisites preferred from the intern(s) | Able to code in C# AND/OR javascript; Familiar with React.js |
| Other JobFunctions | |
| Keywords related to the project | |
| Apply Now | Apply through our chatbot .Shortlisted candidates can expect to be notified within a month from the date of application. |
Predicting Potential Distress in Financial Institutions
| Department | Inspection and Supervisory Methodologies Department (IMD) |
| Preferred internship window | Summer Internship: May to August 2022 |
| Description of Project | The aim of this project is to come up with a usable model to predict potential distress at MAS' supervised financial institutions. The work includes the following: 1. Literature review of other jurisdictions' methodologies in predicting financial distress; 2. Coming up with the appropriate indicators to determine financial distress and variables contributing to it (i.e. the independent and dependent variables); 3. Building machine learning models to predict financial distress; and 4. Presenting the outcome for discussion and evaluation. |
| Expected deliverables for the project | 1. A report outlining the literature review, data used, choice of models, and evaluation metrics; 2. Set of well-documented Python codes for the machine learning models; and 3. A deck of presentation slides to demonstrate the thinking and work done |
| Experience and/or skills that the intern(s) may gain from the internship | 1. Applying machine learning techniques to financial data; and 2. Understanding the supervisory concerns of MAS in regulating financial institutions |
| Pre-requisites preferred from the intern(s) | 1. Experience in developing machine learning models; and 2. Familiarity and interest in financial analysis |
| Other Job Functions | SupTech, Predictive Modelling / Machine Learning |
| Keywords related to the project | Data analytics, machine learning, predictive models, supervisory technology, financial analysis, early warning systems, financial distress |
| Apply Now | Apply through our chatbot . Shortlisted candidates can expect to be notified within a month from the date of application. |
(CLOSED) Optimise and implement data collection, data analytics and records management for banking supervision
| Department | Inspection & Supervisory Methodologies Department |
| Preferred internship window | Summer Internship: May to August 2022 |
| Description of Project | 1. Understand user requirements from banking supervisors to implement solutions for collection, analytics and visualization of data collected from the banking industry. 2. Operationalise the tools used to collect and collate data submitted by banks. 3. Participate and support MAS-wide digitalization and e-transformation initiatives. |
| Expected deliverables for the project | 1. Summary of existing data collection/consumption requirements and recommendation of improved data collection/consumption solutions. 2. Tools for data collection/consolidation/aggregation/visualization based on supervisors’ requirements 3. Digitalization of the physical documents owned by the department |
| Experience and/or skills that the intern(s) may gain from the internship | 1. Real-world experience of implementing data collection, data ingestion and data visualisation for actual business use. 2. Deepen understanding of data management in a corporate setting. 3. Pick-up project management experience and skills relevant for data related projects. |
| Pre-requisites preferred from the intern(s) | 1. Experience in creating Tableau Dashboards 2. Well-versed in scripting languages commonly used in data analytics, preferably Python 3. Keen interest in and/or good knowledge of banking and financial services industry 4. High self-drive and ability to work independently. 5. Good analytical and communications skills |
| Other Job Functions | Data Management, Data Visualisation |
| Keywords related to the project | Data Management, Data Analytics, Records Management, Project Management, Banking Supervision |
| Apply Now | Apply through our chatbot . Shortlisted candidates can expect to be notified within a month from the date of application. |
Macroprudential surveillance and risk scan of the insurance sector
| Department | Insurance Department / Supervisory Analytics |
| Preferred internship window | Summer Internship: May to August 2022, 10 to 12 weeks |
| Description of Project | To support the division in executing macroprudential surveillance and supervision tools (e.g. industry-wide stress testing, top-down stress testing, own risk and solvency assessment, industry scans), with the view to help insurance supervisors in the department to better detect and understand the risks and vulnerabilities of the insurance industry and come up with supervisory actions can be taken early if necessary. |
| Expected deliverables for the project | Analysis of the results of the stress testing and risk assessment/scans performed, and preparation of presentation slides on the key findings. |
| Experience and/or skills that the intern(s) may gain from the internship | 1. Have a greater insight on the work/analysis that is performed by Insurance Department in regulating and supervising insurers in Singapore 2. Build up knowledge on the regulatory and supervisory frameworks that are in place 3. Develop a better understanding of the various types of insurance sectors in Singapore and the risks faced by each of them 4. Hone communication skills in distilling key findings and presenting in a manner that is succinct and easily understood |
| Pre-requisites preferred from the intern(s) | 1. Second year undergraduate with major in business/accounting/economics with preferably specialisation in Actuarial Science, or Risk Management & Insurance 2. Proficient with the use of Microsoft Office Excel, PowerPoint etc. 3. Knowledge in Excel VBA, Tableau will be useful. |
| Other Job Functions | SupTech, Insurance |
| Keywords related to the project | - |
| Apply Now | Apply through our chatbot . Shortlisted candidates can expect to be notified within a month from the date of application. |
(CLOSED) Surveillance and Centralised Analysis (SCAN) Tool
| Department | Department |
| Preferred internship window | Preferably as soon as possible for 6 month; if not, Summer Internship: April/May to August 2022 |
| Description of Project |
SCAN is a surveillance tool for MAS supervisors that integrates key sources of intelligence – news, social media, macroeconomic factors, and markets data, with FIs’ data to enable timely, accurate, and proactive micro / macro-surveillance of FIs, and risk analyses. |
| Expected deliverables for the project | 1. Conduct workshops to gather user journey for a wide range of user scenarios; and think out of the box for innovative solutions enabled by data analytics/tech to meet user needs. 2. Design and recommend best practices for the SCAN’s UI/UX that will be used by supervisors in their daily surveillance work and reporting to MAS Senior management. |
| Experience and/or skills that the intern(s) may gain from the internship | Solve real-world problems through a rigorous UX research process enabled by data analytics; and be skilled with use of UI/UX tools (Figma). |
| Pre-requisites preferred from the intern(s) | Design thinking and UI/UX design background |
| Other Job Functions | UI / UX, Stakeholder Management |
| Keywords related to the project | Design thinking. UI/UX. Customer journey map. User interview. Usability testing. |
| Apply Now | Apply through our chatbot . Shortlisted candidates can expect to be notified within a month from the date of application. |