Wholesale Banking Analytics & Strategy Intern — Hybrid

ing; Amsterdam; Hybrid; EUR 7,100 - 8,500; Part time

Benefits offered by this job

Internship allowance

Company laptop

Hybrid work

Personal growth opportunities

Informal working environment

Job summary

ING is offering an internship in Wholesale Banking Finance aimed at finance-conscious students. You will translate complex financial data into actionable insights and support strategic decision-making across Lending, Transaction Services, Capital Markets & Advisory, and Financial Markets.

You will work with senior stakeholders, gain exposure to management reporting, forecasting and budgeting, and develop skills in data analytics, Python or R, and stakeholder management in a hybrid work setting.

Qualifications

• Fluent in English (business level).
• Strong communicator with the ability to translate insights for different audiences.
• Analytical and structured thinker who can work with complex data.
• Hands-on with data, from exploration to insight generation.
• Proficient in Python and/or R.

Responsibilities

• Contribute to 2-3 WB Finance projects across Lending, Transaction Services, CMA, FM, Sectors and Global Management Information & Reporting.
• Embed within a Finance Business Advice team to gain hands-on experience with management reporting, forecasting and budgeting.
• Analyze business performance and provide insights to senior stakeholders across ING Wholesale Banking.

Skills

Communication

Analytical thinking

Data analytics

Stakeholder management

Python

Education

Enrolled at a Dutch university

Tools

Python

R

Job description

ING is offering an internship in Wholesale Banking Finance aimed at finance-conscious students. You will translate complex financial data into actionable insights and support strategic decision-making across Lending, Transaction Services, Capital Markets & Advisory, and Financial Markets.

You will work with senior stakeholders, gain exposure to management reporting, forecasting and budgeting, and develop skills in data analytics, Python or R, and stakeholder management in a hybrid work setting.