Intern, Finance Data & Analytics

Location: Singapore

ING WB Asia Internship Programme 2027

At ING, we're redefining what it means to be a bank, and we're looking for students who are curious, proactive, and eager to make a meaningful impact. If you're excited to learn, challenge the status quo, collaborate with diverse teams, and turn ideas into action, our internship programme offers the opportunity to gain hands-on experience, develop your skills, and contribute to an international organisation that values continuous growth and innovation.

Department/Function: CFO

Team: Regional Management Reporting

Internship Period: 6 months ; January-Jun

About ING Bank

We began operating in Singapore in 1987 where we host the regional Asia Pacific headquarters. With over 300 financial experts, we are the largest wholesale banking branch in Asia. ING stands out in the Asia Pacific region because we go a step further for our customers. We look at things from the client’s perspective which allows us to construct tailor-made solutions to fit the needs of every company we serve. This mentality underpins all our client relations and has produced various prestigious awards.

Our internship programme offers more than just on-the-job experience. Through structured onboarding, development initiatives, cross-functional networking opportunities, project showcases and an intern alumni community, you'll gain valuable exposure, build meaningful connections and develop skills for your future career.

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.