Financial services is the largest practice area at most top consulting firms, generating roughly 25-30% of total revenue at McKinsey, BCG, and Bain. Cases in this sector test your understanding of regulation, risk-return trade-offs, and digital disruption – concepts that rarely appear in standard case prep materials.
Four Sub-Sectors and Their Economics
Each financial services sub-sector operates on a distinct revenue model. Misunderstanding the economics leads to a fundamentally wrong framework.
| Sub-Sector | Revenue Model | Core Profitability Metric | Top Challenge |
|---|---|---|---|
| Retail Banking | Net interest margin + fees | Cost-to-income ratio (target: 40-55%) | Digital transformation, branch rationalization |
| Insurance | Premiums minus claims minus expenses | Combined ratio (target: below 100%) | Pricing accuracy, claims inflation |
| Asset Management | Management fees (% of AUM) | AUM growth and fee margin | Fee compression from passive funds |
| Fintech | Varies: SaaS, interchange, lending margin | Unit economics (LTV/CAC) | Regulatory compliance, trust building |
In our experience, candidates who can immediately identify the sub-sector and its revenue model earn strong marks in the first two minutes of the case.
Common Financial Services Case Scenarios
Based on our analysis of financial services cases in the case library, these five scenarios appear most frequently:
Branch network optimization – A retail bank wants to reduce its 2,000-branch network by 30% while maintaining customer satisfaction. This is a profitability case that requires analyzing branch-level economics, digital migration rates, and geographic coverage.
Rising claims costs – An insurance company’s combined ratio has deteriorated from 95% to 108% over three years. You need to decompose the loss ratio and expense ratio to identify whether the problem is pricing, claims frequency, claims severity, or operational costs.
Fintech go-to-market – A fintech startup with a payments product needs a strategy to acquire its first 100,000 customers. This combines market entry analysis with unit economics and regulatory considerations.
ESG fund launch – An asset manager is evaluating whether to launch an ESG-focused fund. You must assess market demand, fee positioning, portfolio construction constraints, and competitive differentiation.
Digital banking transformation – A traditional bank wants to launch a digital-only sub-brand. This tests strategic rationale (cannibalization risk), operational model, technology build-vs-buy, and financial projections.
Financial Services Frameworks
Three analytical frameworks recur across financial services cases:
Revenue Decomposition
Financial services revenue always breaks down into volume, margin, and retention components. For a bank: number of accounts multiplied by average balance multiplied by net interest margin. For insurance: number of policies multiplied by average premium multiplied by renewal rate. Always decompose revenue before jumping to costs.
Risk-Return Assessment
Every financial services decision involves a risk-return trade-off. A bank can grow its loan book faster by loosening credit standards, but this increases default risk. An insurer can win market share by underpricing, but claims will eventually catch up. Demonstrating awareness of this trade-off separates strong candidates from average ones.
Regulatory Impact Analysis
Regulation shapes everything in financial services. Capital requirements (Basel III for banks, Solvency II for insurers) determine how much business a firm can write. Compliance costs consume 5-15% of revenue at most financial institutions. Always ask about the regulatory environment early in a financial services case.
Metrics That Signal Sector Fluency
- Cost-to-income ratio: Operating costs divided by operating income. Top-performing banks achieve 40-50%; struggling banks exceed 70%.
- Combined ratio: Claims plus expenses divided by premiums. Below 100% means underwriting profit; above 100% requires investment income to break even.
- AUM and fee margin: Asset managers earn 0.5-1.5% on actively managed funds, but only 0.03-0.20% on passive index funds.
- Net interest margin (NIM): The spread between lending and deposit rates. Typically 2-3% for retail banks, compressed during low-rate environments.
Key Takeaways
- Financial services generates 25-30% of consulting firm revenue, making it one of the most frequently tested sectors
- Always identify the sub-sector first (banking, insurance, asset management, fintech) because each operates on fundamentally different economics
- Revenue decomposition into volume, margin, and retention is the starting framework for any financial services profitability case
- Risk-return trade-offs and regulatory constraints are the two dimensions that make financial services cases unique
- The combined ratio for insurance, cost-to-income ratio for banking, and fee margin for asset management are the metrics you must know
Strengthen your financial services case skills with practice scenarios from our case library, or run a realistic simulation with an AI Mock Interview tailored to banking and insurance cases.