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2026 Chief Data Office: Drive Data-Driven Transformation

2 months ago

Singapore MyCareersFuture Full time
About Our Team

Our organization is a global financial services group with a network spanning approximately 30 countries and regions. We connect markets East & West, servicing the needs of individuals, institutions, corporates, and governments through our three business divisions: Wealth Management, Investment Management, and Wholesale (Global Markets and Investment Banking).

Chief Data Office (CDO)

The CDO is the central data and analytics arm that works closely with our Businesses and Corporate functions to enable the execution of our data strategy. We help the firm implement robust data standards & governance, actionable performance metrics & MIS, high-impact information and analytics products, and solutions.

Our Pillars

We have three main pillars: Governance, Develop, and Operationalize. The Governance pillar works with data owners, stewards, custodians, and consumers to improve data and digitalization capabilities for pre-emptive risk management and controls management. The Develop pillar designs, develops, and delivers analytics solutions and enhancements to support digital and analytics transformation. The Operationalize pillar works with business to design, deliver, and operationalize data transformation products and solutions.

About the Full-Time Analyst Program

The Graduate Analyst Program is a full-time program commencing in July 2026. As part of our 18-month Graduate program, you will work in the Chief Data Office (CDO) to gain in-depth knowledge in driving the development of information and analytics products for data and digital transformation across our Group.

Program Highlights
  • Gain exposure to rotate across the three pillars within CDO and understand how each pillar works together to make an impact on various parts of our organization.
  • Work on key analytics initiatives across multiple disciplines with the guidance and mentorship from experienced data professionals.
  • Get hands-on experience and insights in how CDO drives the development of information and analytics products for data and digital transformation across our Group.
About the Internship Program

The 6-month internship program will commence in January/July 2025 in our Singapore office. During the program, you will gain first-hand experience and insights in how CDO drives the development of information and analytics products for data and digital transformation across our Group.

Your Responsibilities
  • Build econometrics & machine learning solutions to solve business problems.
  • Build data pipelines both on-premise and on the cloud.
  • Build and manage data visualization using PowerBI or other similar tools.
  • Work with Data Scientists and Engineers to deploy solutions to development/production environment.
  • Collaborate with business leaders, subject matter experts, and decision makers to develop success criteria and optimize new products, features, policies, and models.
  • Communicate key results to senior management in verbal, visual, and written media.
About You

We are looking for individuals with outstanding academic and extra-curricular achievement, who will be able to withstand the rigors of a rapidly changing, demanding but ultimately rewarding environment.

We look for team players who are curious with strong quantitative skills and a keen interest in business and finance. Other common traits amongst our team are intelligence, curiosity, diligence, integrity, and the willingness and capability to thrive under a challenging environment.

Additional requirements include:

  • Studying in quantitative fields, such as Computer Science, Data Science, Statistics, or related disciplines.
  • Intellectual curiosity to solve data-driven problems.
  • Exposure & hands-on experience in executing data analysis using tools such as Python, R, SQL, PowerBI, etc.
  • Exposure to statistical methods, familiarity with Machine Learning methods.
  • Exposure to cloud tools such as AWS.
  • Ability to understand complex business and data systems.
  • Ability to clearly communicate complex results to technical and non-technical audiences.
  • Versatility and willingness to learn new technologies on the job.