Investment Banking Associate, AI Internship | Applied AI x Corporate Finance

Overview

This opening is being promoted on behalf of a partner organization, which will handle applications and all follow-up steps. The role is for a Germany-based Investment Banking Associate, AI Internship focused on the intersection of applied AI and corporate finance.

You’ll join an AI-driven environment where your background in investment banking helps improve the next generation of intelligent systems. The internship centers on research aimed at strengthening AI reasoning for corporate finance and capital markets. By bringing practical transaction experience into the process, you will help train, assess, and refine AI models using structured financial knowledge. Working with specialists across finance and technology, you’ll gain unusual exposure to how advanced AI products are built and improved while contributing meaningful finance expertise.

Accountabilities

• Bring investment banking knowledge into structured research work intended to enhance AI performance in corporate finance and capital markets.
• Create, polish, and evaluate high-quality finance content that mirrors the judgment and reasoning used by seasoned bankers.
• Study and document transaction processes such as origination, pitching, execution, and closing.
• Use experience in M&A, valuation, capital markets, and transaction structuring to improve model quality.
• Explain banking judgment, analytical methods, and decision-making approaches in clear written form.
• Check AI-generated outputs for correctness, relevance, and alignment with professional finance standards.
• Work remotely with cross-functional teams operating at the junction of artificial intelligence and finance.

Requirements

• Currently enrolled in an MBA program with 3–7 years of prior experience in investment banking or capital markets at a top-tier financial institution or elite boutique.
• Past work at Analyst or Associate level in investment banking.
• Strong capability in at least one of these areas: M&A deal structuring and valuation, equity or debt capital markets execution, sector coverage, or syndicate/book-running.
• Advanced financial modeling experience, including LBO, three-statement modeling, and DCF analysis.
• Exposure to complex transaction analysis, fairness opinions, market updates, and client-facing documents such as pitch decks.
• Ability to communicate banking concepts, professional judgment, and decision logic clearly in writing.
• Strong analytical thinking, close attention to detail, and the ability to work independently in a fast-moving setting.
• Interest in artificial intelligence and curiosity about the future of finance technology.

Benefits

• 100% remote work setup.
• Competitive hourly pay tied to background and expertise.
• Option to begin immediately.
• Direct exposure to advanced AI development and financial technology use cases.
• Chance to help improve AI models used for sophisticated professional reasoning.
• Rare opportunity to combine investment banking experience with applied artificial intelligence.
• Referral bonus available for successful candidate recommendations.

Application and process notes

Applications and subsequent steps are managed by the partner company. The selection process uses AI-supported matching to review applications quickly and fairly against the role’s core criteria, after which the strongest matches are forwarded to the employer for final review and next steps such as interviews or assessments.

Data privacy notice

By applying, you consent to the processing of your personal data for candidate evaluation and for sharing relevant details with the hiring employer, based on legitimate interest and pre-contractual measures under applicable data protection laws, including GDPR. You may request access, correction, deletion, or objection at any time.

AI tools may be used to assist with parts of the hiring workflow, such as reviewing applications, analyzing resumes, assessing responses, and flagging possible inconsistencies or verification signals. These tools support recruiters and do not replace human judgment; final hiring decisions are made by people.