Intern, Finance Data & Analytics

ING·Singapore·Accounting & Finance

ING is hiring a Intern, Finance Data & Analytics in Singapore. Posted 2026-04-29; applications close 2026-06-28.

Role details

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 visualization 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.

Applying to this role

This Intern, Finance Data & Analytics role at ING runs through the firm's own careers portal and expects a CV and cover letter written specifically for the posting, not a portable submission carried across firms. Jorb AI's application agent tailors a CV and cover letter from your background to this posting and tracks the role alongside the rest of your applications.

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About this data

Jorb AI tracks details for Intern, Finance Data & Analytics at ING. Postings refresh hourly from primary careers pages. Job details mirror the firm's posting; the apply link goes directly to the source. Last refreshed 2026-05-20.

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