Investment Banking Resume Skills (2026) — Modelling, Comps, Deal Vocabulary & 60+ Examples by Division

Core financial modelling

• Three-statement operating model — revenue build, cost build, working-capital schedule, debt schedule, equity rollforward, FCF bridge, full P&L / BS / CF integration
• DCF / DDM / NAV — WACC build (CAPM, after-tax cost of debt, target capital structure), terminal-value approaches (Gordon growth, exit multiple), reverse DCF for share-price-implied growth
• LBO — paper LBO on demand (5×5 standard), full-cycle LBO with sources & uses, acquisition financing waterfall, sponsor / management equity, IRR / MOIC sensitivity, dividend recap, secondary buyout structures
• M&A accretion-dilution — cash vs stock vs mixed consideration, P/E spread analysis, synergies as % of target market cap, financing assumption sensitivity, EPS bridge, full pro forma
• Comparable company analysis (trading comps) — peer screening (sector, size, geography, growth, margin), adjustment for non-recurring items, calendarisation, EV / equity bridge, multiple selection (EV/EBITDA, EV/Revenue, P/E)
• Precedent transactions analysis (transaction comps) — deal-stage screening, control premium analysis, synergy-attribution, market-conditions adjustment, public-vs-private discount
• Sum-of-the-parts (SOTP) — segment-level valuation, cross-holding adjustment, pension and OPEB liability adjustment, conglomerate-discount overlay
• Football-field valuation summary — DCF range, comps range, precedents range, LBO IRR-implied entry, 52-week trading range, broker target range, board-presentation calibration

Pitchbook & PowerPoint craft

• Sector overview slides — comp set construction, market sizing, growth-vs-margin scatter, recent transactions table, public market valuation summary
• Situation analysis — process narrative, strategic alternatives matrix, board-context framing, fairness-opinion-grade structure
• Process and timing — sell-side auction timeline (CIM out, IOI, MP, LOI, exclusivity, signing, closing), 144A / Reg S timeline, dual-track timeline, restructuring milestones
• Football-field page formatting — Think-Cell or Mekko Graphics layouts, bar / waterfall / Marimekko / Gantt at IB pace
• Fee proposals and term sheets — engagement-letter standard form, fee structures (success / retainer / break-up), expense-reimbursement language
• Deck QA discipline — page-numbering, brand-compliance, cross-page consistency, legal / compliance footer language, tickmark trail to working files

Data terminals & screening tools

• Capital IQ Pro — comps screen, M&A screen, transaction screen, ownership screen, broker-research pull, financial-data export, Excel plugin
• FactSet — Universal Screening, FDS Excel add-in, Reverse-DCF and IBES estimates, ownership and short-interest data, transcript and event database
• Bloomberg Terminal — EQS / SCRN, M&A function (MA), debt function (DDIS, CDSW, FLDS), comparable function (RV), advanced equity screening, transcript ingestion
• PitchBook — private-company screen, sponsor-portfolio screen, deal-multiple data, exit-history reconciliation, broker-research / credit-agreement data
• Refinitiv Eikon / Workspace — M&A deals database, league-table data, sustainability and ESG data overlay
• AlphaSense — transcript Q&A, broker-research search, regulatory-filing search, sentiment overlay, KOL identification
• Hebbia / Aiera / Fintool — multi-document Q&A, transcript-to-bullet, financial-statement-to-extract pipelines
• S&P Global Market Intelligence — credit ratings, debt schedule, covenant coverage, structured-finance lookup

Division & deal-execution vocabulary

• M&A — sell-side / buy-side / cross-border / tuck-in / transformational / reverse merger / tender offer / short-form / long-form / special committee / go-shop / no-shop / fairness opinion / MAC clause / topping bid / dual-track / hostile / activist defense
• Leveraged Finance (LevFin) — TLA / TLB / second-lien / unitranche / mezzanine / OID / flex / ratings advisory / committed financing / bridge loan / take-and-hold underwrite / club deal
• Equity Capital Markets (ECM) — IPO / follow-on / secondary / block / PIPE / convert / green shoe / lock-up / stabilisation / price talk / demand book / cornerstone investor / wall-cross
• Debt Capital Markets (DCM) — investment grade / high yield / 144A / Reg S / covenant package / maturity wall / tender / consent solicitation / make-whole / call protection
• Sponsors / Private Equity coverage — add-on / platform / continuation vehicle / GP-led secondary / NAV financing / tax distribution / dividend recap / management roll-over
• Restructuring — Ch 11 / Ch 15 / DIP financing / exit financing / plan support agreement / cramdown / absolute priority / liability management exercise / fulcrum security / waterfall analysis
• Industry Groups — TMT / Healthcare / FIG / Natural Resources / Industrials / Consumer & Retail / Real Estate / Power & Utilities / ESG / Energy Transition (each with its own sector vocabulary)

Diligence, data-room & process tools

• Datasite, Intralinks, SecureDocs, FirmRoom, iDeals — VDR setup, permissioning, Q&A log management, watermarking, audit trail
• Workstream coordination — commercial diligence (with Bain / McKinsey / OC&C / L.E.K. / Strategy&), financial diligence (with EY / KPMG / PwC / Deloitte / BDO / Alvarez & Marsal), legal diligence (Skadden / Latham / Wachtell / Cravath / Sullivan), tax diligence, IT, ESG, regulatory
• Management presentation prep — narrative arc, financial cadence, Q&A backup, sensitivity rehearsal, board-meeting protocol
• Bid-letter and IOI / LOI drafting — non-binding pricing range, conditions precedent, exclusivity language, financing conditions, regulatory carve-outs
• CIM / CIP / teaser drafting — investment highlights, financial summary, growth narrative, risks, transaction timeline
• Closing checklist and post-mortem — escrow / hold-back / earn-out structuring, working-capital adjustment mechanics, lessons-learned deck

Certifications, languages & credentials

• Series 79 (US, IB representative) — required by Y1 at most US bulge brackets and elite boutiques
• Series 63 (state-level US) — required alongside Series 79 in most US offices
• Series 7 (general securities representative) — broader product coverage; required for capital-markets desks
• FCA SMCR (UK Senior Managers & Certification Regime) — Conduct Rule and certification awareness for London IB roles
• SFC Type 6 (Corporate Finance, Hong Kong) — required at MD level; awareness expected at all levels in HK
• MAS (Monetary Authority of Singapore) — RNF / CMS licence awareness for Singapore IB roles
• CFA — Level 1 differentiator at Analyst, Level 2 weighted higher at asset management, Level 3 / Charter expected at HF / AM lateral
• CPA — relevant for restructuring, special-situations and FIG roles; less weighted at M&A advisory
• Languages with CEFR proficiency — Mandarin / Cantonese for HK and SG, German / French for Continental Europe, Portuguese for São Paulo, Arabic for Dubai / Riyadh — recruiters filter on language at multi-market desks

AI-banking, automation & coding

• Claude / GPT-5 — first-pass memo drafting, transcript-to-bullet, model-output narration, sector-coverage screens; preserve VP-review discipline and MNPI handling
• AlphaSense / Hebbia / Aiera / Fintool — transcript Q&A across 100+ filings or earnings calls in seconds, KOL identification, sentiment overlay
• Daloopa / Canalyst / Mosaic — three-statement model templates from auto-extracted public filings, accelerating model build by 60–80%
• Cursor / Claude Code — for analysts who code: VBA macros, Python (pandas, numpy, openpyxl) for model automation, SQL for transaction database queries
• Power Query / Power BI — for analysts who build sector dashboards or aggregate broker-research datasets
• Excel power-user signal — dynamic-array formulas (FILTER, SORT, UNIQUE, BYROW, LET), Solver, Goal Seek, Scenario Manager, Power Pivot, INDEX/MATCH discipline (no VLOOKUP across columns)
• Workflow signal — name the AI-banking workflow you have shipped, the FTE-equivalent productivity gain, and the VP-review discipline; 'Operated a Claude-driven first-draft memo pipeline cutting analyst memo turnaround from 14 to 4 hours' beats 'familiar with ChatGPT'

Resume bullet examples

• Summer Analyst — Built three-statement operating model and DCF / LBO valuation for the $1.2B sell-side M&A of a confidential mid-cap industrials target as part of the TMT analyst class; drafted six analyst-pages of the management presentation reviewed live by the deal MD; deal closed Q4 2025 at 9.6× LTM EBITDA
• Analyst Year 1 — Owned the LBO model and capital-structure waterfall for the $3.4B leveraged buyout of a global B2B-software target by a top-quartile sponsor; structured a TLA / TLB / second-lien / unitranche financing stack delivering a 22% sponsor IRR / 2.7× MOIC under base case; deal financed Sep 2025
• Analyst Year 2 — Led the analyst workstream on a $14.8B cross-border IPO of a healthcare technology issuer (NYSE / HKEX dual listing); built three-statement model, comp set across US and APAC peers, and led the green-shoe sensitivity; priced at $46 / share, 18% above the marketed range
• Analyst Year 2 — Authored four sector-coverage notes (Energy Transition, Decarbonisation, Hydrogen, Carbon Capture) distributed weekly to the IB Industrials franchise; notes anchored two pitch wins worth $42M of fee opportunities and three live mandates
• Associate Year 1 — Led the deal-team execution on a $6.2B sell-side M&A in TMT software with three competing strategic bidders; ran management-presentation cycle with four bidders, owned the Q&A log across the diligence workstream, and managed the topping-bid analysis for the special committee
• Associate Year 2 — Owned client coverage for two mid-cap consumer & retail clients; drove four bake-off pitch wins (sell-side M&A, $850M IPO advisory, $1.1B convertible, $400M tender / consent) and the firm's $9.4M aggregate fee book for the cycle
• Associate / VP — Led restructuring advisory on a $2.4B liability-management exercise for a leveraged-loan issuer; structured fulcrum-security analysis, ran ad-hoc creditor group negotiation, drafted plan-support-agreement framework; transaction completed Q2 2026 at 96% creditor support
• VP — Day-to-day client lead on a $4.6B PE-sponsored continuation vehicle and GP-led secondary; managed LP advisory committee process, ran NAV-financing parallel track, and drove the GP / LP economic alignment negotiation
• VP — Directed the Sponsors-and-LevFin execution for a $1.8B carve-out from a Fortune 100 industrials parent to a top-decile sponsor; ran sale-and-purchase-agreement negotiation alongside legal and structured the $920M TLB / $400M second-lien financing stack
• Director — Originated and led $11M of fees in 12 months across two Healthcare M&A mandates and one ECM follow-on advisory for a Series E-stage diagnostic platform; expanded the franchise's mid-cap Healthcare client list by 11 net-new logos
• Director / MD — Led the Activism-Defense advisory for a Russell 1000 industrials issuer facing a 9.4% activist position; ran shareholder-rights plan analysis, built investor-relations narrative arc, and orchestrated four institutional-investor lobbying sessions; activist withdrew 11Cs filing within 90 days
• Managing Director — Owned a $34M IB fee book and 14 live coverage relationships across TMT mid-cap; closed 9 transactions across M&A / ECM / DCM in the calendar year, delivered top-quartile fee-per-MD ranking within the global TMT franchise

Common mistakes to avoid

• 'Financial modelling' on its own — replace with the named techniques (three-statement, DCF, LBO, M&A accretion-dilution, comps, precedents)
• 'Microsoft Office' or 'Excel' on its own — replace with named functions (dynamic-array formulas, INDEX/MATCH, Scenario Manager, sensitivity tables) and named modelling workflows
• 'Bloomberg' or 'FactSet' alone — replace with named functions (Bloomberg EQS / SCRN / MA / DDIS; FactSet FDS Excel add-in, Universal Screening, IBES estimates)
• Listing 'AI / ChatGPT familiarity' instead of a named banking workflow with FTE-equivalent productivity gain or memo-turnaround reduction
• No division vocabulary — 'investment banking experience' loses to 'TMT M&A and Sponsor Coverage execution' on a recruiter boolean search
• No certification progression status — 'Series 79' alone reads as ambiguous; 'Series 79 sponsored, sitting Q3 2026' is the screening pass
• Listing soft skills as the leading skill block — recruiters screen on tools and modelling first; soft skills go in the bullet narrative, not the skills block
• Mixing US and UK / EU spelling conventions — 'organize' next to 'specialise' is a small but screening-relevant signal at MD-level review

Frequently asked questions

• What technical skills should an investment banking analyst put on a 2026 resume?

  Lead with the modelling block (three-statement, DCF, LBO, M&A accretion-dilution, comparable company analysis, precedent transactions), then PowerPoint pitchbook fluency (Think-Cell or Mekko Graphics), then the named-tool block (Capital IQ Pro, FactSet, Bloomberg Terminal, PitchBook, Refinitiv Eikon, AlphaSense), then the VDR block (Datasite, Intralinks, SecureDocs, FirmRoom). Add Series 79 / 63 / 7 progression for US, FCA SMCR for UK, SFC for Hong Kong, MAS for Singapore. Add CFA Level 1+ as a plus. Add the 2026 AI-banking workflow signals (Claude, GPT-5, AlphaSense, Hebbia, Daloopa, Canalyst, Mosaic) as named workflows, not as 'familiarity with ChatGPT'. Recruiters use boolean search — listing 'financial modelling' loses to 'three-statement model + LBO + DCF + M&A accretion-dilution + comparable company analysis + Capital IQ + FactSet + Bloomberg Terminal'.

• What is the difference between investment banking skills at bulge bracket vs elite boutique level?

  Bulge brackets (Goldman, JP Morgan, Morgan Stanley, Citi, BAML, Barclays, UBS, Deutsche, Wells Fargo) value broad division coverage — your skill block should signal optionality across M&A, ECM, DCM, LevFin and Sponsors. Elite boutiques (Centerview, Evercore, PJT, Lazard, Moelis, Guggenheim, Perella Weinberg, Qatalyst) value pure-advisory depth — your skill block should signal M&A and restructuring obsession with deal-memo-grade specificity. Both expect the named-tool block (Capital IQ, FactSet, Bloomberg, PitchBook, AlphaSense). Restructuring desks (PJT RSSG, Lazard RX, Houlihan Lokey RX, Guggenheim RX, Moelis RX) require the restructuring vocabulary — DIP, plan support agreement, cramdown, liability management exercise, fulcrum security. Industry groups (TMT, Healthcare, FIG) layer sector vocabulary on top of either path.

• Should I list Series 79 if I am still studying for it?

  Yes — list it as 'Series 79 in progress (target [Month Year])' or 'Series 79 sponsored, sitting [Quarter Year]'. US bulge brackets and elite boutiques expect Year-1 Analyst Series 79 sponsorship and a passing score within 90 days of start; signalling progression on the resume saves a recruiter conversation. Same applies to Series 63, Series 7, FCA SMCR-relevant exams, SFC Type 6 modules and MAS RNF papers. CFA progression follows the same pattern — 'CFA Level 1 cleared Aug 2025, Level 2 candidate Aug 2026'. CPA candidates should signal jurisdiction and progress through the four parts. Avoid stating 'planning to take' without a date — recruiters discount unsponsored future intentions.

• How do I show financial-modelling skill without having access to live deal experience?

  Ship a portfolio that recruiters can verify. Build a public-company three-statement model (Capital IQ / FactSet templates work) and post it to a public investment-club page or stock-pitch competition entry. Build a paper LBO on a public sponsor portfolio company with sources & uses, sponsor IRR / MOIC and sensitivity table; post the cleaned-up version. Win or place top-3 in a stock-pitch competition (Cornell, Wharton, MSU, LBS, MIT, INSEAD all run them). Author a sector-coverage note (TMT, Healthcare, FIG, Industrials) and publish via investment club, Substack or Medium under a real name. The named, externally-verifiable artefact ('Top-3 Wharton MUSE Stock Pitch Competition, 2025; portfolio-manager of $130K virtual fund returning 24% over 12 months') outperforms 'self-taught financial modelling'.

• Which Excel skills should I list on an investment banking resume?

  List the named modelling techniques first (three-statement, DCF, LBO, M&A accretion-dilution, comps, precedents) — these imply the underlying Excel discipline. Then the named functions and workflows: dynamic-array formulas (FILTER, SORT, UNIQUE, BYROW, LET), INDEX/MATCH discipline (no VLOOKUP across columns), Scenario Manager, Solver, Goal Seek, Power Pivot, Power Query, sensitivity tables, scenario stress, Monte Carlo overlay (for advanced sensitivity). Add VBA if you have shipped a macro library or build automation. Add Python (pandas, numpy, openpyxl) and SQL if you operate the modelling stack as an analyst-coder. Avoid 'Microsoft Excel' on its own — that reads as Excel non-fluency. The named-function block is what differentiates an Analyst-1 from a stock-pitch-competition student.

• How do I list AI fluency on an investment banking resume without sounding generic?

  Name the workflow, the tool, and the FTE-equivalent productivity gain or memo-turnaround reduction. Weak: 'Familiar with ChatGPT and Claude'. Strong: 'Operated a Claude-driven first-draft memo pipeline for sector-coverage screens, cutting analyst memo turnaround from 14 to 4 hours while preserving VP-review discipline; pipeline now adopted across the TMT analyst class.' For transcript Q&A: 'Built an AlphaSense + Hebbia transcript-search workflow across 140 broker-research notes and 60 earnings transcripts, surfacing three competitive-intel insights that anchored a $42M pitch win.' For modelling acceleration: 'Operated a Daloopa-templated three-statement scaffold for the TMT comp set, cutting Day-1 model build from 9 hours to 2.5 while keeping the VP-comment cycle to one round.' Senior bankers screen for 'I will give you 3.5 FTEs of analyst output per analyst seat without violating MNPI handling or VP-review' — the workflow language signals exactly that.

• What languages should I list on an investment banking resume?

  Languages with CEFR proficiency are screened separately at multi-market desks. Mandarin (Putonghua) and Cantonese for Hong Kong and Singapore desks. German / French / Spanish / Italian for Continental European desks. Portuguese for São Paulo. Arabic (MSA + Gulf) for Dubai, Riyadh, Doha. Russian historically valued at London / Moscow desks. Japanese for Tokyo. Korean for Seoul. Always state CEFR (A2, B1, B2, C1, C2 — or 'native', 'fluent', 'professional working') and the script (Simplified vs Traditional Chinese, Nastaliq vs Naskh Arabic). Recruiters at multi-market industry groups (FIG, Natural Resources, ESG / Energy Transition) use language as a primary screening filter; a C1+ second language can swing a senior-Analyst lateral.

• Should I mention which deals I worked on by name?

  Public deals (announced or closed and disclosed) can be named — your firm announced your involvement in the press release, the public can search it, and naming the buyer / target / sponsor is non-controversial. Unannounced live deals must be anonymised — 'a confidential $1.6B sell-side M&A in mid-cap industrials' beats naming the target. Restructuring deals can name the debtor once Ch 11 has been filed; pre-filing diligence stays anonymised. Always keep MNPI inside the firm's Chinese-Wall policy — the resume is read externally, and any pre-announcement detail is a compliance violation that disqualifies the candidate at the offer stage. When in doubt, anonymise; the deal-memo specificity (size, type, your workstream, outcome) is what passes the screen, not the counterparty name.

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