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Finance

Investment Banking Analyst

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Investment Banking Analysts are the first-year and second-year program hires at investment banks who handle the quantitative and production workload on deal teams. They build financial models, produce pitch books and client presentations, run due diligence processes, and support Vice Presidents and Managing Directors across M&A, capital markets, and restructuring transactions.

Role at a glance

Typical education
Bachelor's degree in Finance, Economics, Accounting, or Math/Stats from a target or semi-target school
Typical experience
Entry-level (0-2 years)
Key certifications
None typically required
Top employer types
Bulge-bracket banks, boutique investment banks, private equity firms, corporate finance departments
Growth outlook
Stable but contracting headcount; deal volume fluctuates with interest rates and AI-driven productivity gains.
AI impact (through 2030)
Mixed — AI-assisted productivity tools are increasing efficiency and compressing headcount, though deal-related complexity and advisory needs remain.

Duties and responsibilities

  • Build three-statement financial models and LBO models from scratch, accurately linking income statement, balance sheet, and cash flow
  • Develop and maintain comparable company and precedent transaction analysis to support valuation conclusions
  • Construct and format pitch books, presentations, and client materials with speed and accuracy under tight deadlines
  • Prepare confidential information memoranda and management presentations describing companies in sell-side processes
  • Organize and manage data rooms for M&A processes, coordinating document requests from potential buyers
  • Run financial analysis supporting deal structuring — accretion/dilution modeling, purchase price allocation, merger synergy analysis
  • Compile and analyze industry research, market data, and competitive benchmarks from Capital IQ, Bloomberg, and deal databases
  • Coordinate logistics for management presentations, road shows, and due diligence calls across multiple deal teams
  • Respond to ad hoc requests from senior bankers during live deals, often at night and on weekends
  • Review and proofread all client-facing materials for numerical accuracy, formatting consistency, and factual correctness

Overview

Investment Banking Analysts are the fuel on which deal teams run. Every model an MD pitches with, every CIM a buyer reads, every analysis that appears in a fairness opinion — a first- or second-year analyst built the first version of it, usually late at night with a round of comments from a VP incoming at 11 PM.

The daily work divides between financial analysis and document production. Financial analysis means building models: three-statement models of the target company, LBO models showing private equity returns at various purchase prices, merger models showing whether an acquisition is accretive or dilutive to the buyer's EPS, DCF analyses with sensitivity tables showing how the valuation moves with different discount rates and growth assumptions. These models need to be built correctly, formatted cleanly, and checked — and then revised when the deal assumptions change, which they always do.

Document production means pitch books: 80-slide PowerPoint presentations summarizing industry trends, the company's financial performance, comparable company valuations, and a strategic rationale for a potential transaction. A pitch book takes 2–3 days of intensive work. During live deals, the document shifts to a confidential information memorandum — the detailed document describing the company's business, financials, and opportunities — which takes 1–2 weeks to produce and goes through many rounds of revision from senior bankers and the client's management team.

When a deal process is live, analysts are the operational backbone. They manage the data room, coordinate document requests from 15 potential buyers, prepare materials for management presentation days, and keep the deal timeline tracking. During a competitive auction process, the analyst may be running logistics while the VP and MD are in back-to-back buyer meetings.

The environment rewards speed, accuracy, and a capacity to deliver high-quality work under pressure. Analysts who develop a reputation for reliable models and clean materials get staffed on better deals and get better exits.

Qualifications

Education:

  • Bachelor's degree with strong academic performance from a target or semi-target school
  • Finance, economics, accounting, and mathematics/statistics are the most common majors; engineering and CS backgrounds are valued for technical groups
  • GPA above 3.5 is a common screen at bulge-bracket banks for on-campus recruiting
  • MBA is not relevant for the analyst program — this is an undergraduate hire

Internship experience:

  • Summer analyst internship at the hiring bank (the primary path to a full-time offer)
  • Alternative: internship at a competing bank, boutique firm, or PE fund — demonstrating deal exposure and financial modeling
  • Corporate finance, equity research, or consulting internships are relevant secondary backgrounds

Technical skills (interview-tested):

  • Three-statement modeling: building and linking from scratch, without templates
  • LBO modeling: capital structure, returns waterfall, exit multiples
  • Valuation: comps and precedents — selecting appropriate comparables, calculating multiples, applying to the target
  • Accretion/dilution analysis: EPS impact of an all-cash vs. stock vs. mixed consideration acquisition
  • Excel: VLOOKUP, INDEX/MATCH, OFFSET, circular reference handling, dynamic charts

Behavioral interview preparation:

  • 'Walk me through your resume' — practiced, concise, focused on finance-relevant experiences
  • 'Why investment banking?' — genuine answer demonstrating knowledge of what analysts actually do
  • 'Why this bank/group?' — specific reasons based on research and networking conversations

Physical and scheduling requirements:

  • Willingness to work nights and weekends during live transactions
  • Availability for on-call responsiveness during active deals
  • Based in financial center cities (New York primarily; Chicago, Houston, San Francisco for some coverage groups)

Career outlook

Investment banking analyst programs remain among the most competitive entry-level positions in finance, and the exit opportunities they unlock make them worth the competition for candidates who can handle the workload.

Headcount in the analyst programs at major banks has contracted somewhat from the peak of 2021 hiring. Rising interest rates reduced deal volume, and AI-assisted productivity tools have made analysts more efficient — the same number of deals can now be executed with somewhat fewer bodies. The analyst class sizes at several bulge brackets were smaller in 2024 and 2025 than they were in 2022.

The countervailing forces are real. M&A deal flow recovers as interest rates normalize. The private credit boom has created demand for leveraged finance analysts who understand debt structuring. Cross-border M&A, particularly involving Asian companies, is generating work for banks with relevant coverage. The net effect is that analyst recruiting remains active and competitive, though the very high volumes of 2021 are not repeating.

For candidates evaluating the analyst path, the honest calculation is this: two or three years of intensive work, well-compensated by entry-level standards, opens doors to private equity, hedge funds, and corporate development roles that would otherwise be inaccessible. The opportunity cost is significant — the hours are real and the lifestyle during live deals is genuinely demanding. The return, for those who execute well, is a launchpad into the top tier of finance careers.

The market for experienced analysts and associates with deal credentials remains active. Banks compete for talent from competitor firms, and analysts who develop sector expertise and a track record of deal execution are recruited throughout the industry. The analyst who arrives with M&A execution experience in a growing sector — healthcare services, energy transition, software — has clear market value wherever they choose to go next.

Sample cover letter

Dear [Recruiter's Name],

I'm applying for a full-time analyst position at [Bank] in the Technology coverage group for the upcoming class. I interned in the investment banking summer analyst program at [Bank/Firm] this past summer, where I was staffed on one M&A process and two pitches in the software sector.

During my internship I built the operating model and comps analysis for a sell-side process on a $350M SaaS company. I maintained the model through three rounds of management revisions before the process launched, and I was responsible for the data room upload coordination for the first round of buyer requests. The deal is still in process, but I understand the buyer has been selected and they're moving to signing.

I've spent the semester sharpening my technical skills — I can build a three-statement model from a 10-K without a template, run a full LBO with a basic debt schedule, and produce comps and precedents quickly using Capital IQ. More importantly, I've gotten faster at the work I saw slow me down during the internship: formatting under time pressure and catching errors in my own models before they go up the chain.

I want to return to [Bank] specifically because of the team culture in the technology group. The senior associate who managed my internship work was genuinely invested in explaining why we were structuring analysis the way we were — not just what to do, but why. That kind of feedback was worth more than the hours I spent in the office.

Thank you for your consideration.

[Your Name]

Frequently asked questions

How many hours a week do Investment Banking Analysts actually work?
During live transactions, 80–100 hours per week is common and 100+ is not unusual. Slower periods run 60–70 hours. The 2021 Goldman Sachs first-year analyst survey, which found analysts averaging 95 hours per week, sparked industry attention — most major banks introduced protected Saturday programs and minimum sleep policies in response, though compliance varies by group and deal intensity.
What do Investment Banking Analysts do after the program?
The two most common exits are private equity and business school. PE recruiting for bulge-bracket and elite boutique analysts is intense and happens quickly — on-cycle recruiting for top buyout funds often starts within months of an analyst's start date, for positions two years away. Many analysts also transition to hedge funds, corporate development, or venture capital. A minority stay for a third year or promote to associate without the MBA.
What is the difference between coverage and product groups?
Coverage groups organize by industry — Technology, Healthcare, Financial Institutions, Energy. Product groups organize by transaction type — M&A, Leveraged Finance, Equity Capital Markets, Restructuring. Most analysts sit in one group but work with the other on deals. Coverage groups generate the client relationships; product groups bring technical expertise for specific transaction structures. For exit opportunities, M&A and leveraged finance product experience is most valued by private equity firms.
Is networking or GPA more important for investment banking recruitment?
Both matter, and their relative importance depends on how you define 'networking.' At target schools with on-campus recruiting, GPA matters significantly — many banks screen resumes for GPA cutoffs. Networking through informational calls, coffee chats, and informational interviews is what converts awareness into a full-time offer, particularly for off-cycle or non-target school candidates. A 3.3 GPA candidate who networked intensively often beats a 3.8 candidate who submitted resumes cold.
Do Investment Banking Analysts need to know how to code?
Python and VBA knowledge help but are not required at most banks for the analyst role. The core technical requirement is Excel and PowerPoint at a high level of speed and accuracy. AI tools and bank-specific automation are reducing some of the repetitive formatting and data-gathering tasks that consumed analyst time. Analysts at quant-adjacent groups or in roles requiring heavy alternative data work benefit from programming skills.