Job Profile Summary
ING Wholesale Banking APAC Finance is looking for a motivated Finance Data & Analytics Intern to join our Singapore-based team. This internship sits at the intersection of finance and data, giving you hands-on exposure to how a leading international bank uses Python, data visualisation tools, and analytics to drive decision-making across 10+ APAC markets.
You do not need a finance background - we are looking for curious, technically inclined students who are comfortable with data and eager to learn in a fast-paced, multi-market environment.
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
Finance Analytics & Reporting
Build and maintain automated data pipelines and reporting templates to extract, transform, and distribute MIS data across APAC markets
Design and deploy self-service dashboards (Power BI / Tableau) surfacing income, expense, RWA, and client metrics for senior stakeholders
Develop scripts and workflows to automate recurring report generation, reducing manual intervention in month-end and quarter-end cycles
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 qualities and skills are we looking for?
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 would you gain from this internship?
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
Diversity, Inclusion and Belonging (DIB)
ING’s vision is to unlock our people’s full potential through our inclusive culture where everyone has the opportunity to develop and have impact for our customers and society. To achieve this vision, our policies support diversity, equity, and inclusion. As an equal opportunity employer, we do not tolerate discrimination of any kind with regard to age, gender, gender identity, cultural background, experience, religion, race, ethnicity, disability, family responsibilities, sexual orientation, social origin, or any other status protected by applicable law. If you require any assistance or if we can accommodate you in any way when participating in our application and/or interview process, please email the recruiting contact listed for the relevant position. We will be happy to work with you to ensure a fair and accessible process. Read more about our commitment to diversity, inclusion and belonging here.
