CMA ECG Intern M&A

About the role

ING's Capital Markets & Advisory (CMA) division runs a 3-6 month internship programme for students, offering hands-on experience in one of four departments: Corporate Finance/M&A, Debt Capital Markets, Loan Sales or Corporate Investments. Interns take part in live deals and key initiatives, working alongside experienced professionals. Applications are reviewed on an ongoing basis.

Key responsibilities

• Corporate Finance / M&A: help prepare client pitches, draft tailored pitches, carry out industry analysis and review company strategies and financials, assess acquisition opportunities, and support clients through data rooms, due diligence and legal documentation, including equity capital markets transactions.
• Debt Capital Markets: take part in bond refinancing and liability management deals, prepare investor presentations, structure deal terms, guide on bond documentation, and prepare market and pricing updates.
• Loan Sales: assist in primary loan syndications and secondary loan sales, prepare pitches, run liquidity analysis, compile league tables and create market reports, working from Brussels in a cross-border team.
• Corporate Investments: support the origination and investment process and the management of the private equity portfolio, meeting SME decision-makers under the supervision of Investment Directors.

Required profile

• Student enrolled in a study, with an internship lasting 3 to 6 months while still studying; a university agreement is required.
• Preference for final-year students with an excellent academic record; prior internship experience is an advantage but not required.
• Strong interest in at least one of the four areas listed.
• Dutch is mandatory for the Corporate Finance/M&A team; fluency in English, written and spoken, is essential there.
• Foreign languages are an advantage but not required.

Required skills

• Highly numerate.
• Excellent English verbal and written communication skills.
• For Loan Sales: strong understanding of finance, clear communication, analytical and innovative approach, organisation and attention to data quality; Excel is required, Python is a plus.