​What is it?​

​The Technology in Finance Immersion Programme (TFIP) aims to help individuals gain experience in new technology areas, such as Cloud Computing, Cybersecurity, Data Analytics and Full Stack Development, within the financial services sector. 

TFIP Roles.jpg

Trainees will acquire the necessary skills through (a) structured training with industry-recognised training providers and (b) an attachment with a leading financial institution.  

Who can apply?

Individuals who are passionate about pursuing a career in Cybersecurity, Cloud Computing, Full Stack Development or Data Analytics, and who fulfil the follo​wing pre-requisites may apply:
​​​• Singapore Citizens or Permanent Residents
Graduated and completed National Service (where applicable) for at least 2 years​
No prior work experience in Cybersecurity, Cloud Computing, Full Stack Development or Data Analytics

​Other Requirements​​ ​
​For Cyber Security, Cloud Computing, Full Stack Development ​For Data Analytics
​• Qualification in Science, Technology, Engineering or Mathematics (STEM) 
Individuals who possess basic knowledge of computer​​ systems configuration and computer programming would be preferred

​• Qualification in Statistics, Applied Mathematics, Computer Science or other Quantitative fields

How does it work?

​Full-time/Part-time ​Full-time
​Duration of Programme: ​18 months (For Data Analytics)
24 months (For Cloud Computing​, Cybersecurity, Full Stack Development)

TFIP trainees will receive a monthly training allowance of S$5,500 for the entire duration that they remain on the programme. 
​Training Schedule:

​September / October 2019
(Application will close on 31 May 2019)

Technology Areas​ Training Providers Broad Job Description
Cloud Computing SMU Academy

Evaluate, design, deploy and maintain various emerging and main stream cloud computing technologies. 


Bridging Minds

SMU Academy

Monitor and investigate cyber security threats and defend against them. Design and implement solutions to protect applications, systems and networks. Analyse security risks for future projects and help protect customers and the bank from cyber risks.
Data Analytics NUS Institute of Systems Science

Analyse data to find patterns that will help improve operations and business outcomes and build real time visualisation and analytics tools for business users.

Full Stack Development NUS Institute of Systems Science

Integrate front-end user-facing services and back-end processing services through coding, and constructing application programme interface (APIs) and microservices. 

Participating Financial Institutions

​Financial Institutions​​

​​​​Tech​nology A​reas ​ ​ ​
Cloud Computing


Data Analytics Full Stack Development
DBS Bank Ltd​​
Deutsche Bank      
Oversea-Chinese Banking Corporation Limited  

Singapore E​xchange Limited

Schroder Investment Management (Singapore)  
The Hongkong and Shanghai Banking Corporation      
United Overseas Bank Limited    ​

Application Process

Online Application 

1. Online Application (Closed on 31 May 2019 at 11pm)
Interested individuals to submit application by 31 May 2019. Individuals can indicate interest in up to 2 Financial Institutions for each technology area, in their application.

In the event that a particular training programme is over-subscribed or training positions at a particular financial institution have been filled, IBF may contact applicants to explore alternatives.

2. Assessment and Interviews (April to July​ 2019)
Shortlisted candidates will be invited by IBF for assessments and interviews. 

3. Programme Offer
Successful applicants will receive a programme offer by ​August 2019.
Applicants who are not selected will be notified by August 2019