Interview Questions159

    FIG vs. Other Industry Groups: What Sets It Apart

    How FIG compares to TMT, Healthcare, Industrials, and Energy in terms of analytical approach, deal types, and skill development.

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    7 min read
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    1 interview question
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    Introduction

    Choosing a coverage group is one of the most consequential decisions in your early banking career. It determines the clients you serve, the analytical skills you develop, the deal types you execute, and the exit opportunities available after your analyst stint. FIG stands apart from every other industry group in ways that go beyond typical sector-specific knowledge. Where TMT, Healthcare, and Energy require domain expertise layered on top of standard valuation frameworks, FIG requires you to replace those frameworks entirely.

    This article compares FIG to the four other major coverage groups across the dimensions that matter most: analytical approach, deal flow characteristics, skill development, and career optionality.

    Analytical Approach: Why FIG Is Fundamentally Different

    The core distinction between FIG and every other group comes down to valuation methodology. TMT, Healthcare, Energy, and Industrials all use the same foundational toolkit: enterprise value, EBITDA (or EBITDA variants like EBITDAX for Energy), unlevered DCF, and LBO models. The sector-specific knowledge is layered on top: Healthcare adds rNPV for drug pipelines, Energy adds NAV for reserves, TMT adds subscriber and user-based metrics. But the core framework remains intact.

    FIG breaks this framework entirely. Debt is raw material, not financing, which means enterprise value, EBITDA, and unlevered DCF are all inapplicable. FIG analysts learn P/TBV, the Dividend Discount Model, embedded value for insurance, and AUM-based valuation for asset managers. These methods have no equivalent in other groups.

    DimensionFIGTMTHealthcareEnergy
    Primary multiplesP/TBV, P/E, DDMEV/EBITDA, EV/RevenueEV/EBITDA, rNPVEV/EBITDA, EV/DACF, NAV
    Intrinsic modelDDM (equity-based)DCF (unlevered)DCF + rNPV for pipelineDCF + NAV for reserves
    Discount rateCost of equityWACCWACCWACC
    Debt treatmentOperating input (raw material)Financing decisionFinancing decisionFinancing decision
    Key sector metricNIM, ROTCE, Combined RatioARR, DAU/MAU, ARPURevenue per drug, approval probabilityProduction, reserves, decline rate
    Regulatory impact on dealsBinding constraint (multi-agency approval)Antitrust (DOJ/FTC)FDA, antitrustFERC, EPA, state regulators

    Deal Flow: Volume, Variety, and Regulatory Complexity

    FIG generates more deal volume than most coverage groups because the financial services industry is enormous and fragmented. The US alone has over 4,300 FDIC-insured banks, thousands of insurance agencies, hundreds of asset managers, and a rapidly growing fintech ecosystem. Bank consolidation alone produces 150-200+ transactions annually.

    However, FIG M&A deals take longer to close than deals in other sectors. Regulatory approval from multiple agencies (Fed, OCC, FDIC, state regulators) extends timelines to 6-18 months, compared to 3-4 months for a typical corporate deal. Capital One's $35.3 billion acquisition of Discover took over 15 months. This extended timeline means FIG bankers work on deals for longer periods but may close fewer mega-transactions annually than TMT or Healthcare peers.

    Skill Development and Transferability

    Each coverage group develops a specific analytical profile that shapes your career trajectory.

    FIG develops the deepest financial statement analysis skills (because bank accounting is uniquely complex), strong regulatory understanding, and expertise in balance sheet-driven modeling. The skills are highly valued within financial services but less directly transferable to other sectors. A FIG analyst transitioning to a technology-focused PE fund would need to learn an entirely new valuation framework.

    TMT develops strong growth-oriented analytical skills: revenue modeling for SaaS businesses, user economics, and technology-driven disruption analysis. TMT skills are among the most transferable because technology touches every industry, and growth equity and venture capital firms value the TMT analytical toolkit.

    Healthcare develops scientific literacy (understanding clinical trial data, FDA pathways, and therapeutic area dynamics) alongside standard financial modeling. These skills transfer well to healthcare-focused PE, venture capital, and the growing biotech corporate development ecosystem.

    Energy develops commodity-based modeling, reserve analysis, and an understanding of capital-intensive businesses with long project timelines. Energy bankers learn to navigate commodity price cycles, production economics, and regulatory frameworks from FERC, EPA, and state-level agencies. The skills are highly valued within the sector but face similar transferability constraints to FIG when moving to other industries: reserve-based NAV modeling does not translate to a consumer PE fund any more than bank DDM modeling does.

    Which Group Should You Choose?

    The right group depends on your career goals, intellectual interests, and risk tolerance for specialization.

    Choose FIG if you are genuinely fascinated by how financial institutions work, comfortable with a steeper learning curve, and willing to commit to a financial services career track. FIG rewards depth over breadth, and the analysts who thrive are those who find regulatory capital analysis and bank modeling intellectually engaging rather than a burden to endure.

    Choose TMT if you want the broadest exit optionality, are drawn to growth-stage companies, and prefer a sector where technology disruption creates constant change. TMT is the largest coverage group at most banks and generates the highest M&A advisory fees globally.

    Choose Healthcare if you want exposure to both scientific innovation and financial analysis, value recession-resistant deal flow (healthcare is defensive), and are interested in biotech venture capital or pharmaceutical corporate development.

    Choose Energy if you are drawn to commodity-driven economics, understand the capital cycle, and want exposure to one of the most capital-intensive sectors in the economy. Energy IB has strong exits into energy PE, infrastructure funds, and commodity trading.

    These comparisons apply across geographies. FIG at a London-based bulge bracket is just as analytically distinct from TMT or Healthcare as it is in New York. The specific regulatory regimes differ (ECB and PRA versus the Fed and OCC, Solvency II versus RBC for insurance), but the fundamental paradigm shift, equity-based valuation replacing enterprise value, is universal. In fact, cross-border FIG transactions at global banks often require analysts who can bridge multiple regulatory frameworks, adding a layer of complexity that domestic-only coverage groups rarely encounter.

    Interview Questions

    1
    Interview Question #1Easy

    What sub-sectors does FIG cover, and how do their business models differ?

    FIG covers six major sub-sectors:

    Commercial banking: Revenue from net interest margin (borrow short, lend long). Valued on P/TBV and DDM. Key metrics: NIM, ROTCE, efficiency ratio.

    Insurance: Revenue from premiums and investment income on float. P&C valued on combined ratio and P/E; life valued on embedded value. Key metrics: combined ratio, loss ratio, ROE.

    Asset and wealth management: Revenue from management fees on AUM. Valued on AUM-based multiples and fee-related P/E. Key metrics: AUM growth, fee rate, operating margins.

    Specialty finance: Revenue from lending spreads in niches banks avoid. Valued on P/E and P/BV with heavy credit quality focus. Key metrics: charge-off rates, delinquency, yield on assets.

    Fintech and payments: Revenue from transaction fees, take rates, SaaS subscriptions. Valued on EV/Revenue and EV/EBITDA. Key metrics: TPV growth, take rate, net revenue retention.

    Exchanges and market infrastructure: Revenue from transaction fees and data/technology services. Valued on EV/EBITDA at premium multiples (15-25x). Key metrics: ADV, revenue per contract, data revenue share.

    The key point is that each sub-sector requires a different valuation framework. This is what makes FIG uniquely demanding.

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