DBS Bank (Hong Kong)


DBS is a leading financial services group in Asia, with over 280 branches across 18 markets. Headquartered and listed in Singapore, DBS has a growing presence in the three key Asian axes of growth: Greater China, Southeast Asia and South Asia. The bank's "AA-" and "Aa1" credit ratings are among the highest in the world.


Recognised for its global leadership, DBS has been named “ Global Bank of the Year” by The Banker and “ Best Bank in the World” by Global Finance. The bank is at the forefront of leveraging digital technology to shape the future of banking, having been named “World’s Best Digital Bank” by Euromoney. In addition, DBS has been accorded the “Safest Bank in Asia” award by Global Finance for ten consecutive years from 2009 to 2018.


Stream A
Audit

Internship Duration: 6 months
Internship Period: Anytime within 01/06/2019 – 31/12/2019

Job Duties

This position supports the bank’s digitisation journey by leveraging data analytics to identify key areas of risk within the Bank, and to enable the paradigm of predictive auditing. The role will be involved in the translation of business problems and requirements into mathematical formulations that can be resolved through the implementation of analytical techniques and statistical modelling.
  • Participate in data analytics projects with applications to audit and risk management under the supervision of Audit managers and/ or data scientist
  • Develop data analytics programs and reporting tools by using data analytic techniques and capabilities to identify anomalies that require further investigation and management attention
  • Work with data scientist to analyse the data and use appropriate statistical / machine-learning methods to develop advanced data analytics model to uncover irregular and hidden patterns and predict risk events under comprehensive scenarios
  • Automate data preparation tasks for continuous auditing and data analytics purposes
  • Work with the team to develop new functions and enhance existing functions of computer-assisted audit techniques (CAATs)

Requirements

  1. Education Background:
    • PG or 3rd year UG student
  2. Disciplines Preferred:
    • Engineering, Science or related disciplines with understanding of statistical modelling, machine learning or data mining concepts
  3. Technical Skills
    • Hands-on experience in Python, R, SQL or other statistical program languages
    • Kaggle experience is a plus
    • Experience with JavaScript libraries or other visualisation tool is an advantage
  4. Language Proficiency
    • Good command of English and Chinese
  5. Others
    • Able to complete the tasks under minimal supervision and tight timeline
    • Attention to details, creative mindset and interest in data analytics
    • Effective interpersonal and organisational skills
    • Have a 'can-do' attitude

 
 

Stream B
Innovation & Ecosystems

Internship Duration: 6 months
Internship Period: Within 01/06/2019 – 31/12/2019

Job Duties

The intern will be involved in digital projects that aims to transform the customer / employee experience. He / she will obtain exposure to work with vendors, FinTech startups, and various stakeholders within the bank, in particular to support the project manager in performing below related tasks:
  • Arrange meetings/workshops with business users to drive the requirements gathering, conduct feasibility study and/or gap analysis to design future states
  • Gather, analyze and document business requirements for solution prototyping and development
  • Draft and maintain project workplans, compile regular status report for management update
  • Perform review to ensure alignment between IT deliverables and business requirements
  • Coordinate with testing team and assist with user acceptance testing, work with vendor / technology teams to resolve issues in a promptly manner
  • Assist in project coordination and administrative tasks on needed basis

Requirements

  1. Education Background:
    • 2nd or 3rd year UG student
  2. Disciplines Preferred:
    • Computer Science, Engineering
  3. Technical Skills
    • Excellent knowledge of Microsoft Office applications, especially Excel and Powerpoint
    • Experience in programming is a plus
  4. Language Proficiency
    • Good command of English and Chinese
  5. Others
    • Currently studying towards a Bachelor’s degree in Engineering, Computer Science, Information Management or similar
    • Demonstrate the capacity to work in a team environment
    • Good attention to details, strong analytical and problem solving skills
    • Ability to adapt quickly to challenging situations and find innovative solutions

 
 

Stream C
Finance

Internship Duration: 6 months
Internship Period: Anytime within 01/06/2019 – 31/12/2019

Job Duties

This position with Finance supports the bank’s digitization journey by leveraging on deep analytics to provide meaningful business performance insights and enabling Finance to move towards usage of data modelling for predictive analytics. The role will be involved in digital projects of the resolution of business problems and requirements through implementation of statistical modelling and analytical techniques.
  • Participate in data analytics projects with applications to Finance under the supervision of Finance managers and/ or data analytics team
  • Develop data analytics programs and reporting tools by using data analytic techniques and capabilities to provide insights and establish simulation model
  • Work with the data analytics team to leverage the use of appropriate statistical / machine-learning methods to develop advanced data analytics model to uncover irregular and hidden patterns and project business performance under comprehensive scenarios
  • Work with the team to develop automation or enhancement of Finance processes
  • Assist in digital projects coordination

Requirements

  1. Education Background:
    • 2nd or 3rd year UG student
  2. Disciplines Preferred:
    • Computer Science, Data Science, Statistics, Engineering or related disciplines with understanding of statistical modelling, machine learning or data mining concepts
  3. Technical Skills
    • Hands-on experience in Python, R, SQL or other statistical program languages
    • Experience with JavaScript libraries or other visualization tool is an advantage
  4. Language Proficiency
    • Good command of written and spoken English
  5. Others
    • Able to complete the tasks under minimal supervision and tight timeline
    • Attention to details, creative mindset and interest in data analytics