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ING

Intern, Finance Data & Analytics

ING is hiring an Intern, Finance Data & Analytics in Singapore, Singapore. Level rates it ; you can apply on ING.

Level's read on this job

  • Level rates this finance role Little AI ●○○○: aI is not part of the work.
  • The posting mentions Python, Power BI and Tableau among its tools and skills.
  • Level classes it as an internship.
  • ING has 707 other open roles on Level.
  • Posted within the past week.

AI in this role

Intern role supporting finance data and analytics through dashboard creation, Python automation, and financial reporting.

pythonpower-bitableauexcelpandas
data-visualizationdata-cleaningautomationfinancial-reporting

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. 


How we rate this

Intern, Finance Data & Analytics at ING rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data VisualizationData CleaningAutomationFinancial ReportingPythonPower BITableauExcel

Also common in finance jobs at this level

Pay

Typical finance job
$105k

This posting doesn't list pay. Use the typical finance figure when pay comes up. See finance jobs

Questions you could be asked

  1. Tell me about a project where data visualization was part of your work. What did you do?
  2. Tell me about a project where data cleaning was part of your work. What did you do?
  3. Tell me about a project where automation was part of your work. What did you do?
  4. Tell me about a project where financial reporting was part of your work. What did you do?
  5. Walk me through how you've used Python in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Data Visualization, Data Cleaning, Automation, Financial Reporting, and Python. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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