AI for Investment Banking Analysts: Deal Work, Research and Presentations
How investment banking analysts use AI for deal work, financial modelling commentary, pitch books, and research. Tools and CPD-accredited training for IB professionals.
AI for Investment Banking Analysts: Deal Work, Research and Presentations
Investment banking analyst work is defined by volume, speed, and precision. Processing large amounts of financial data, producing high-quality presentations under deadline pressure, and maintaining analytical rigour across multiple concurrent transactions are the hallmarks of the role. AI tools are providing IB analysts with genuine productivity gains across each of these dimensions.
The IB Analyst AI Toolkit
The most effective IB analysts are using three AI tools in combination: Claude for drafting and document analysis, ChatGPT Advanced Data Analysis for financial data processing and chart generation, and NotebookLM for due diligence document review.
Pitch Book and Presentation Production
Pitch book production is among the most time-intensive analyst tasks — combining financial analysis, market research, and visual presentation under tight deadlines.
AI helps most with the narrative sections — market overview, company positioning, transaction rationale, and comparable companies analysis narrative. Analysts and associates handle the slide design and formatting; AI handles the text.
Transaction rationale prompt: "You are a senior IB associate drafting the transaction rationale section of an M&A pitch book. The proposed transaction is: [describe deal structure]. Strategic rationale for the buyer: [bullet points]. Target company strengths: [describe]. Key synergies: [describe]. Write a 400-word transaction rationale section covering: strategic fit, financial rationale, synergy opportunity, and timing. Tone: persuasive and analytical. Avoid hedging language."
Information Memorandum Drafting
IM drafting is one of the most time-consuming parts of sell-side M&A advisory. AI accelerates the business overview, market opportunity, and financial performance sections.
Business overview prompt: "You are a senior IB analyst drafting the business overview section of an IM. The target company is: [describe business, revenue model, key customers, geographies]. Key competitive strengths: [bullet points]. Recent financial performance: [describe]. Write a 600-word business overview for the IM. Tone: factual and compelling. Avoid superlatives. Structure: Business description | Revenue model | Competitive strengths | Recent performance | Growth opportunities."
Comparable Companies and Transaction Analysis
The written narrative accompanying comparable companies and precedent transactions analysis requires precise, professional language.
Comps narrative prompt: "You are an IB analyst writing the comparable companies analysis narrative for an IC presentation. Our subject company trades at [EV/EBITDA multiple] versus the peer group range of [X-Y]. The premium or discount is justified by: [describe differentiating factors]. Write a 200-word comparable companies narrative explaining the valuation positioning, the key comparable selection criteria, and any material adjustments or exclusions."
Financial Model Commentary
Model assumptions prompt: "You are an IB analyst writing the financial model assumptions section for an IC presentation. DCF key assumptions: Revenue CAGR [%], EBITDA margin expansion [bps], terminal growth rate [%], WACC [%]. Basis for each assumption: [describe]. Write a 200-word assumptions section explaining the rationale for each key assumption and the key downside risks. Reference comparable transactions and public company data where relevant."
Due Diligence Support
For IB analysts supporting buy-side mandates or involved in sell-side DD preparation, NotebookLM is the primary tool for document review. Upload the data room documents and interrogate them with specific questions, receiving cited answers grounded exclusively in the uploaded sources.
Managing Analyst Workload During Live Deals
During live transactions, IB analysts face extreme time pressure across multiple deliverables simultaneously. The analysts getting the most from AI are those who have built personal prompt libraries for their most common tasks — a set of tested, reusable prompts for pitch book sections, IM paragraphs, and management presentation slides. Maintaining this library means each new deal starts with a strong drafting foundation rather than from scratch.
CPD-Accredited AI Training for IB Professionals
Learnsignal's IB and Buy-Side AI Certificate covers M&A deal work, due diligence, investment research, pitch book production, and portfolio management. CPD-accredited by NASBA, ICAEW, ACCA, CIMA, CPA Ireland, and CPA Australia.
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Learnsignal Education Team
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