Breaking Into FIG Investment Banking: The Complete Guide
A complete guide to FIG investment banking, covering banks, insurance, asset management, specialty finance, fintech, and exchanges. Sector-specific valuation, regulatory capital, M&A deal structures, and interview prep with the depth needed for FIG group interviews.
A complete guide to FIG investment banking, covering banks, insurance, asset management, specialty finance, fintech, and exchanges. Sector-specific valuation, regulatory capital, M&A deal structures, and interview prep with the depth needed for FIG group interviews.
Understand how FIG groups work and why debt is raw material
Master bank, insurance, and asset manager accounting and metrics
Apply DDM, P/TBV, Embedded Value, and Excess Return valuation
Analyze regulatory capital impact on FIG M&A deal structures
Navigate fintech disruption, bank consolidation, and market trends
Prepare for FIG interviews with sector-specific technical questions
Understanding FIG Investment Banking: The Complete Guide: A Complete Overview
The Financial Institutions Group (FIG) is the single largest fee-generating coverage group in investment banking, accounting for roughly 35% of the global IB fee pool and over $18 billion in fees in the first half of 2024 alone. Financial services M&A reached $418.9 billion in disclosed deal value in 2025, a 49% increase year-over-year, with 93 megadeals above $1 billion. For investment bankers, FIG is also one of the most analytically distinct groups. Unlike any other coverage area, financial institutions use debt as raw material, not as a financing tool. This single conceptual difference means that enterprise value, EBITDA, unlevered DCF, and most of the standard valuation toolkit either break down or require fundamental modification when applied to banks, insurance companies, and other financial institutions.
This depth requirement makes FIG one of the most intellectually demanding coverage groups, and one of the hardest to prepare for. Interviewers expect you to go beyond standard DCF and LBO frameworks and demonstrate genuine understanding of how financial institutions create value, how regulatory capital shapes every transaction, and why the metrics that matter for banks and insurers have no equivalent in other industries.
This guide covers all of it: from the foundational accounting and regulatory frameworks that govern financial institutions, through deep dives into six distinct sub-sectors (commercial banking, insurance, asset and wealth management, specialty finance, fintech and payments, and exchanges and market infrastructure), to the unique valuation methods, deal structures, and interview techniques that separate prepared candidates from everyone else. It is structured as both a course you can read from start to finish and a reference you can jump into at any point.
Why FIG Is Different from Every Other Coverage Group
FIG stands apart from other coverage groups in ways that are more fundamental than sector-specific knowledge. Understanding these structural differences is the first step toward preparing effectively for FIG interviews.
The first and most important differentiator is the role of debt. In every other sector, debt is a financing decision: companies choose how much to borrow based on their capital structure preferences, and the debt sits on the right side of the balance sheet as a liability to be managed. For financial institutions, debt is the core input to the business. A bank's deposits and borrowed funds are its raw material, analogous to inventory for a retailer or components for a manufacturer. A bank takes in deposits at 2%, lends them out at 6%, and earns the net interest margin (NIM) of 4%. This means you cannot strip out debt to calculate enterprise value the way you would for an industrial company, because removing debt from a bank is like removing inventory from a retailer. The entire standard valuation framework (EV/EBITDA, unlevered DCF, unlevered free cash flow) collapses.
- Net Interest Margin (NIM)
The difference between interest income earned on lending and investing activities and interest expense paid on deposits and borrowings, expressed as a percentage of average earning assets. NIM is the single most important profitability metric for commercial banks. The industry-wide NIM was 3.28% in Q4 2024, above the pre-pandemic average of 3.25%. Large money-center banks typically operate with lower NIMs (JPMorgan at ~2.5%, Bank of America at ~1.97%) than regional and community banks (3.5-4.0%) because of their reliance on lower-yielding but diversified asset bases.
The second differentiator is regulatory capital. Financial institutions do not simply choose their capital structure. Regulators mandate minimum capital ratios (CET1, Tier 1, Total Capital) that constrain every strategic decision: how much a bank can lend, how much it can return to shareholders, whether it can execute an acquisition, and what price it can pay. Basel III/IV requirements dictate risk-weighted asset calculations that affect everything from loan pricing to M&A feasibility. The US Basel III Endgame rule, originally targeted for July 2025, has been delayed and is expected to be re-proposed in early 2026 with a "capital-neutral" approach and a three-year phase-in through approximately 2029. Every FIG M&A analysis includes a capital impact assessment: does the combined entity meet regulatory minimums? How much excess capital does the target generate? What is the tangible book value dilution and earn-back period?
The third differentiator is valuation methodology. Because standard enterprise value and EBITDA are meaningless for financial institutions, FIG has developed its own valuation toolkit. Banks are valued on Price / Tangible Book Value (P/TBV) and the Dividend Discount Model (DDM), which values equity directly through projected dividends and buybacks. Insurance companies use Embedded Value for life insurers and combined ratio analysis for P&C. Asset managers trade on AUM-based multiples and fee-related earnings. Each sub-sector has metrics and methods that have no parallel in other industries, and interviewers expect you to know which tools apply where.
The Sub-Sector Map
FIG bankers organize financial services into six major sub-sectors, each with a distinct business model, valuation approach, and M&A dynamic. Understanding this taxonomy is fundamental because FIG teams are typically organized by sub-sector, and the technical knowledge required for each is meaningfully different.
| Sub-Sector | Business Model | Primary Valuation | Key Metric | Typical Multiples |
|---|---|---|---|---|
| Commercial Banking | Borrow short, lend long (NIM) | P/TBV, DDM | NIM, ROTCE, Efficiency Ratio | 1.3-2.5x TBV |
| Insurance | Underwrite risk, invest float | Embedded Value (Life), P/E (P&C) | Combined Ratio, ROE | 11-14x P/E |
| Asset & Wealth Management | Manage AUM, earn fees | AUM %, Fee-based P/E | AUM growth, Fee rate, Margins | 1.1-2.3% of AUM |
| Specialty Finance | Niche lending, leasing | P/E, P/BV | Credit losses, ROE, Yield | 1.0-2.0x BV |
| Fintech & Payments | Transaction processing, SaaS | EV/Revenue, EV/EBITDA | Take rate, TPV growth | 4-5x Revenue, 9-11x EBITDA |
| Exchanges & Market Infrastructure | Volume-based fees, data | EV/EBITDA, P/E | ADV, Revenue per contract | 15-25x EBITDA |
The Scale of FIG M&A
FIG M&A activity in 2025 was dominated by banking consolidation. Capital One's $35.3 billion acquisition of Discover Financial (announced February 2024, closed May 2025) created the 8th largest US bank with $637.8 billion in combined assets. Fifth Third Bancorp acquired Comerica for $10.9 billion, Pinnacle Financial merged with Synovus for $8.6 billion, and Huntington Bancshares acquired Cadence Bank for $7.4 billion. In payments, Global Payments acquired Worldpay for $24.25 billion and FIS acquired Global Payments' Issuer Solutions for $13.5 billion at roughly 9x synergized EBITDA.
FIG Accounting: Why Financial Statements Look Different
Before diving into any sub-sector, FIG bankers need a working knowledge of how financial institution accounting differs from standard corporate accounting. These differences are not cosmetic. They reflect the fundamental economic reality that debt is raw material, not financing.
A bank's income statement starts with net interest income (the spread between interest earned and interest paid), not revenue. Non-interest income (fee revenue from advisory, wealth management, trading, and payments) is the second line. The efficiency ratio (non-interest expense divided by total revenue) replaces operating margin as the primary profitability metric, with well-run banks targeting 50-60%. Loan loss provisions (now governed by the CECL expected loss framework rather than the old incurred loss model) flow through the income statement and directly impact earnings, creating a credit cycle overlay on top of normal operating performance.
- ROTCE (Return on Tangible Common Equity)
The primary profitability metric for banks, calculated as net income available to common shareholders divided by average tangible common equity. ROTCE removes the distortion of goodwill and intangible assets created by acquisitions, making it the cleanest measure of how efficiently a bank generates returns on its actual invested capital. JPMorgan Chase leads the industry at approximately 22% ROTCE, while the large bank average ranges from 13-18%.
The balance sheet is equally distinct. Assets are dominated by the loan portfolio and securities holdings (held-to-maturity vs. available-for-sale, a distinction that has significant capital implications through AOCI). Liabilities are dominated by deposits, which are both a funding source and a key value driver: the deposit franchise (a bank's ability to attract and retain low-cost core deposits) is one of the most important intangible assets in banking, and deposit premiums are a critical component of bank M&A valuation.
Insurance accounting is another distinct system. P&C insurers report premiums written and earned, with the combined ratio (loss ratio plus expense ratio) as the key underwriting profitability metric. A combined ratio below 100% means the insurer is profiting from underwriting alone, before investment income. Life insurers operate on even longer time horizons, with reserve development creating multi-year earnings volatility as actuarial assumptions are updated. The global insurance market generated approximately $8 trillion in premiums in 2024, with non-life growing 8.2% and life growing 11.9%.
Asset management metrics center on AUM, fee rates, and margins. Global AUM reached $128 trillion in 2024 (up 12% year-over-year), but the industry faces structural pressure: 89% of asset managers report profitability pressure over the past five years, and profit per AUM is down 19% since 2018. Fee compression from passive investing, active ETFs charging 0.64% versus 1.08% for mutual funds, and market-dependent revenue (over 70% of the industry's $58 billion revenue growth in 2024 came from market performance rather than net inflows) create an environment where scale and operational efficiency determine survival.
Specialty Finance, Fintech, and Market Infrastructure
Beyond the three core sub-sectors (banking, insurance, asset management), FIG covers three additional areas that generate significant deal flow.
Specialty finance companies occupy niches that traditional banks either cannot or choose not to serve. This includes mortgage REITs, business development companies (BDCs), consumer finance companies, auto lenders, equipment lessors, and commercial finance providers. These businesses are valued differently from banks because they lack deposit franchises and rely on wholesale funding, securitization, and warehouse facilities for capital. Valuation typically uses P/E and P/BV rather than P/TBV, with credit quality metrics (charge-off rates, delinquency trends, reserve adequacy) as the primary differentiation factors. The student lending, auto finance, and commercial lending sub-sectors each have distinct risk profiles and valuation considerations.
Fintech and payments represent the fastest-growing FIG sub-sector by M&A volume. The global fintech market reached $340.1 billion in 2024 and is projected to grow to $1.13 trillion by 2032 (16.2% CAGR). Global payments revenue was $2.4 trillion in 2023, on track for $3.1 trillion by 2028. Valuation uses EV/Revenue (averaging 4.8x in North America) and EV/EBITDA rather than the equity-based methods used for banks. The key metrics are take rate (revenue as a percentage of total payment volume), TPV growth, and net revenue retention. The 2025 fintech IPO wave (Klarna at $15 billion, Chime at $18.4 billion, Circle at ~$6 billion) signaled that public markets have moved past the valuation correction of 2022-2023 and are pricing high-growth fintech at premium multiples again.
Exchanges, clearinghouses, and market infrastructure companies (CME, ICE, Nasdaq, LSEG, CBOE, DTCC) represent perhaps the highest-quality business models in all of FIG. They operate as regulated near-monopolies with volume-based revenue, minimal credit risk, enormous operating leverage, and recession-resistant demand (volatility drives trading volume, which drives revenue). Valuation multiples reflect this quality: exchanges trade at 15-25x EBITDA, well above banks and most insurers. The key metrics are average daily volume (ADV), revenue per contract, data and technology revenue (a growing share for all major exchanges), and market share by product. M&A in this space tends to be transformational rather than incremental, such as LSEG's acquisition of Refinitiv for $27 billion and ICE's acquisition of Black Knight for $11.7 billion.
FIG Valuation: The Specialized Toolkit
FIG valuation requires an entirely different set of tools than generalist banking. Understanding why standard methods fail, and which methods replace them, is the core technical competency FIG interviewers test.
Why Enterprise Value and EBITDA Break Down
For a non-financial company, enterprise value equals equity value plus net debt. This works because debt is separable from the business: you can theoretically pay it off and the underlying business operations continue unchanged. For a bank, removing debt (deposits, wholesale funding, subordinated notes) removes the business itself. There is no underlying "unlevered" business to value. Similarly, EBITDA is meaningless because interest expense is an operating cost, not a capital structure decision. Depreciation and amortization are trivial for asset-light financial firms. The metric simply does not apply.
Price / Tangible Book Value (P/TBV)
P/TBV is the foundational FIG multiple. It measures what the market pays for each dollar of a bank's hard equity after stripping out goodwill and intangible assets from prior acquisitions. The logic: a bank's balance sheet is marked closer to fair value than a manufacturer's (most financial assets have observable market prices), so book value is a more meaningful reference point than for other sectors.
Current P/TBV multiples range from approximately 1.3x for Bank of America to 2.6x for JPMorgan Chase. Regional banks trade at 1.3-2.1x, and acquisition premiums in recent deals have been 20%+ above the unaffected trading price. The key driver of P/TBV is ROTCE relative to cost of equity: banks earning above their cost of equity deserve a premium to book value, banks earning below it trade at a discount.
Dividend Discount Model (DDM)
The DDM is the FIG equivalent of an unlevered DCF. Because you cannot separate debt from operations, you value equity directly by projecting the cash that can be distributed to shareholders (dividends plus share buybacks, collectively called total payout) and discounting it at the cost of equity, not WACC. The DDM captures the regulatory constraint: total payout in each period is limited by the excess capital above regulatory minimums after accounting for balance sheet growth.
Insurance and Asset Management Valuation
Insurance valuation diverges further by sub-type. P&C insurers are typically valued on P/E and combined ratio quality, with the current median insurance industry P/E at approximately 13.6x. Life insurers use Embedded Value, which represents the present value of future profits from the existing book of policies plus adjusted net asset value. This method exists because life insurance contracts are long-duration assets whose value depends on actuarial assumptions about mortality, persistency, and investment returns that are not captured by current-period earnings.
Asset manager valuation uses a dual framework: AUM-based multiples (typically 1.1-2.3% of AUM, with higher percentages for alternative and active strategies) and earnings-based multiples. Firms under $200M AUM typically trade at 6-8x EBITDA, firms in the $300M-$900M range at 9-12x, and "platform-worthy" firms above $1B at 10-14x or higher. The Aon wealth management divestiture at 21x EBITDA ($2.7 billion) represents the premium end for high-quality, recurring-revenue franchises.
FIG M&A Deal Structures
FIG transactions involve structural complexities driven by regulatory requirements that have no parallel in other sectors.
Capital impact analysis
Calculate pro forma CET1, Tier 1, and Total Capital ratios for the combined entity. If the deal breaches regulatory minimums, it either needs restructuring or is not feasible
Tangible book value dilution and earn-back
Measure the TBV per share dilution at close and model how long it takes for the combined entity to earn back the dilution through synergies and accretion. Earn-back periods exceeding 3-4 years typically face board resistance
Regulatory approval timeline
Bank acquisitions require approval from the Fed, OCC, FDIC, or state regulators. The approval process examines competitive impact, CRA compliance, financial stability risk, and management quality. Timeline: 6-18 months depending on size and complexity
Deposit premium analysis
The core deposit premium (price paid per dollar of core deposits above book value) is a key metric for bank acquisitions. It reflects the franchise value of a stable, low-cost funding base
Cost synergy realization
Bank mergers derive 60-80% of deal value from cost synergies (branch consolidation, technology platform rationalization, back-office elimination). Revenue synergies are modeled conservatively at 10-20% of total synergies
The approval process for bank M&A is uniquely rigorous. Multi-agency review (Fed, OCC, FDIC, state regulators) examines competitive concentration (using the HHI framework with a 1,800 threshold), CRA (Community Reinvestment Act) performance, financial stability implications (deposits exceeding 10% of national total require enhanced scrutiny), and management capability. This process extends timelines significantly: Capital One's Discover acquisition took over 15 months from announcement to close.
Insurance M&A: Float, Reserve Risk, and Capital Modeling
Insurance transactions introduce additional structural considerations. The acquirer must evaluate the quality of the target's loss reserves: are reserves adequately stated, or will adverse development emerge post-closing? Reserve risk is often the single largest diligence issue in P&C insurance deals, and buyers frequently negotiate adverse development covers (ADCs) or loss portfolio transfers (LPTs) to cap their exposure to prior-year claims deterioration. Life insurance M&A adds actuarial complexity around embedded value calculations, surrender rate assumptions, and the long-duration nature of the liabilities being acquired. The Embedded Value methodology is central to pricing life insurance transactions because it captures the present value of future profits locked within the in-force book of business, a value stream that does not appear clearly in GAAP financial statements.
Insurance brokers and distributors represent a distinct deal category within FIG, commanding premium multiples (Marsh McLennan spent $27 billion on acquisitions in 2024 alone, including $7.75 billion for McGriff Insurance Services). Brokers are valued more like fee-based businesses (P/E and EV/EBITDA) than risk-bearing insurers, because they earn commissions without underwriting exposure. The recurring revenue nature of insurance brokerage, combined with high retention rates (90%+ in most lines), creates predictable cash flows that support significant leverage and premium acquisition multiples.
Current Market Dynamics
FIG investment banking in 2025-2026 is shaped by several converging forces that interviewers expect candidates to discuss intelligently.
The fintech maturation cycle has shifted from disruption narratives to integration and consolidation. The fintech IPO window reopened in 2025 with Klarna (valued at $15 billion), Chime ($18.4 billion), and Circle (~$6 billion) raising a combined $3.2 billion. Total fintech M&A reached $64 billion in 2025 (108% year-over-year increase), and the 2026 IPO pipeline includes Plaid, Revolut, Monzo, and Airwallex. The theme has shifted from fintech vs. banks to fintech within banks, as embedded finance, banking-as-a-service, and AI-driven credit decisioning blur traditional boundaries.
The interest rate environment creates both opportunity and risk across FIG. The rate hiking cycle expanded bank NIMs (industry-wide NIM reached 3.28% in Q4 2024), but also triggered unrealized losses in securities portfolios (the SVB crisis was a direct consequence of AOCI impact from rate moves on AFS and HTM securities). As rates normalize, FIG bankers must model the NIM compression effect on bank earnings and the resulting impact on valuations.
The insurance hardening-to-softening cycle is creating deal opportunities. After years of hard market conditions driving premium growth (8.2% non-life growth in 2024), the market began softening in late 2024. US commercial property rates fell 9% in Q1 2025. This cycle creates M&A activity as insurers seek scale to maintain profitability, reinsurance capital flows reshape the market, and InsurTech companies face consolidation pressure.
Preparing for FIG IB Interviews
Interviewing for FIG roles requires layering sector-specific knowledge on top of standard technical and behavioral preparation. You still need to master the core technical questions every IB candidate faces (DCF, LBO, accretion/dilution, accounting). But FIG interviews add a second layer: sub-sector-specific questions about valuation methods, regulatory dynamics, and your ability to discuss current transactions intelligently.
The most common FIG-specific question is "Why FIG?" The answer needs three elements: a personal catalyst (what sparked your interest in financial institutions), an intellectual argument (what makes the sector analytically compelling, typically the debt-as-raw-material paradigm and unique valuation challenges), and evidence of engagement (deals you follow, industry knowledge you can demonstrate). Saying "I like finance" or "banks are interesting" signals that you have not thought deeply about what makes FIG distinct.
Beyond the "why" question, interviewers test sub-sector knowledge with questions like:
- How would you value a bank, and why can you not use EV/EBITDA? (P/TBV and DDM framework)
- Walk me through how a bank generates income. (NII + non-interest income, efficiency ratio)
- What happens to regulatory capital in a bank merger? (CET1 impact, TBV dilution, earn-back)
- How does the combined ratio work for P&C insurers? (loss ratio + expense ratio, below 100% means underwriting profit)
- Why are asset management multiples compressing? (fee compression, passive shift, market-dependent revenue)
Strong candidates connect their technical answers to real deals and current dynamics rather than reciting textbook definitions. When you explain how to value a bank, reference the Capital One/Discover deal and discuss why the $35.3 billion all-stock transaction made strategic sense given Discover's deposit franchise and payments network. When you discuss insurance valuation, reference the P&C hardening cycle and explain how combined ratios below 100% create attractive acquisition targets.
FIG modeling tests are also distinct from standard IB modeling. Instead of building a three-statement model or LBO, you may be asked to build a bank model (projecting NII, fee income, provision expense, and capital ratios), an insurance model (projecting premiums, combined ratio, and investment income), or a DDM (projecting earnings, capital needs, and shareholder payouts). The key difference is that FIG models are balance sheet driven rather than income statement driven: you project asset growth first, then derive the income statement from the balance sheet, and finally calculate capital adequacy to determine how much cash can be returned to shareholders. This is the reverse of how most non-financial models are constructed.
Candidates from non-target schools or without prior FIG exposure should focus on the networking strategies specific to FIG groups, which tend to be smaller and more specialized than generalist teams. Building genuine sector knowledge before reaching out is essential: FIG bankers can immediately tell whether a candidate has authentic interest in financial institutions or is treating FIG as a backup to their preferred group.
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