Why ING?
The world of banking is changing faster than ever. That’s why we at ING are always broadening our horizons. Our people have a forward-thinking mentality, a strong can-do spirit and enjoy working in an agile environment.
ING in Asia Pacific
In Asia Pacific, ING offers wholesale banking across 11 markets, namely Australia, China, Hong Kong SAR, India, Indonesia, Japan, the Philippines, Singapore, South Korea, Taiwan, and Vietnam.
ING offers both retail and wholesale banking services in Australia. ING’s regional presence includes a 13% stake in Bank of Beijing, China and a 30% stake in TMBThanachart Bank in Thailand.
Singapore is the regional headquarters for ING's Wholesale Banking (WB) business in Asia, which includes all WB business lines such as Financial Markets, Strategic Products, Sectors, Lending and Transaction Services and other support functions.
What will you be doing?
Data & Analytics Support
Assist in building and maintaining dashboards in Power BI or Tableau for financial KPI reporting
Support data extraction, cleaning, and transformation using Python (pandas, openpyxl, etc.)
Help automate routine reporting tasks currently done manually in Excel
Run data quality checks and assist in reconciling figures across reporting systems
Python & Automation
Write and test Python scripts to process and load data from Excel/CSV sources into databases (e.g., SQLite)
Assist in scheduling and maintaining existing automation pipelines
Document code and workflows for team knowledge transfer
AI & Digital Initiatives
Participate in ING's AI and digitalization projects under the guidance of the APAC Finance AI SPOC
Assist in testing and documenting AI-enabled tools and prototypes
Contribute ideas on how data workflows can be further automated or improved
What we are looking for?
You Must Have
Currently pursuing a degree in Data Science, Computer Science, Statistics, Engineering, or related field
Proficiency in Python - comfortable writing scripts, using libraries like pandas and numpy, and debugging code
Familiarity with Excel - pivot tables, formulas, and basic data manipulation
Analytical mindset with attention to detail
Good communication skills - able to explain data findings clearly
Good to Have
Exposure to Power BI, Tableau, or any other data visualisation tool
Basic knowledge of SQL or databases (e.g., SQLite, MySQL)
Understanding of financial concepts (income statements, KPIs, balance sheet basics)
Experience with version control (Git/GitHub)
Interest in AI/ML applications in a business context
What you will gain
Real-world exposure to finance analytics in a top-tier international bank
Hands-on experience with Python automation, Power BI/Tableau dashboards, and SQLite pipelines
Mentorship from a team blending finance expertise with advanced data and AI skills
Exposure to APAC multi-market financial reporting across 10+ countries
A portfolio-worthy project that you can present at the end of your internship
Need more information?
For information on ING Wholesale Bank, visit https://www.ingwb.com/
For information on careers, visit https://www.ing.jobs/Global/Careers.htm
This is a six month full time Internship position starting from June/July 2026.