Debt Capital Markets interview preparation

Questions

100

Traced to a firm

45

Firms

26

Updated

September 2026

Asked at

All firmsTSTruist Securities5PIMCO4TD Securities4Apollo Global Management3Nomura3Scotiabank3Bain Capital2Houlihan Lokey2Mizuho2Neuberger Berman2Oaktree Capital Management2RCRBC Capital Markets2Carlyle Group1Deutsche Bank1Golub Capital1HPS Investment Partners1Invesco1KKR1Lazard1Moelis & Company1Moody's1Northern Trust1NUNuveen1Rothschild & Co1S&P Global1Wells Fargo Securities1

Topic

All topicsBond mechanics11Duration and convexity6Yield curve and rates5Credit spreads5Credit analysis and ratings13Credit modelling9Primary issuance9Syndication and loans10Structured credit7Covenants and documentation5Liability management5Indian debt markets7Fit8

Level

AnyCoreIntermediateHard

Type

AnyTechnicalBrainteaserMarket viewCaseFit

1. 069What is structured finance, how would you evaluate it, and what are the credit risks?Structured creditHardtechnicalMoody'sCredit Risk · New York · 2024

   Say this

   Structured finance pools cash-flow-generating assets in a bankruptcy-remote vehicle and issues tranched debt against them, so the credit risk of the notes comes from the pool and the structure rather than from a corporate. You evaluate it in three layers: the collateral, the structure, and the counterparties. And you assume correlation is higher than the model says.

   Then walk it

   1. The mechanics: a true sale of assets into an SPV, so the notes are isolated from the originator's insolvency. The SPV issues senior through mezzanine to equity, and losses hit from the bottom up while cash pays from the top down. That subordination is what manufactures a AAA out of a pool of BBB-quality assets.
   2. Layer one, collateral: what are the assets, what is their historical default and loss experience, how granular and diversified is the pool, what are the underwriting standards, and how will they behave in a recession rather than in the sample period.
   3. Layer two, structure: attachment and detachment points, excess spread, overcollateralisation, reserve funds, the payment waterfall, sequential versus pro rata principal, and the triggers that divert cash to the seniors when performance deteriorates. Also whether the pool is static or managed.
   4. Layer three, counterparties and operations: the servicer, because a securitisation is only as good as collections; the swap counterparty; the trustee; and the originator's alignment, which is why regulators require risk retention of 5 percent.
   5. The core credit risks, in order of how much damage they do: correlation, which is the 2007 lesson — tranching protects you against idiosyncratic default and not against a common shock; model risk in the assumed default and prepayment curves; servicer failure; and basis or timing mismatches between asset and liability cash flows.
   6. The honest limitation for an interview: structured finance ratings depend on assumptions that cannot be observed directly. Two analysts with the same pool and different correlation assumptions get different ratings, and the history of the asset class is largely a history of that assumption being too optimistic.

   Where candidates lose it

   Describing the tranching mechanics and stopping. The interviewer — especially at an agency — wants the risk analysis, and the answer must name correlation and model risk explicitly. Saying tranching protects against idiosyncratic but not systematic loss is the single sentence that carries this question.

   Expect next

   • What does risk retention achieve?
   • Why did 2007-vintage CDOs fail when the underlying was rated?
   • How would you stress a static pool versus a managed one?

   Reported by candidates at Moody's (Credit Risk, New York, 2024). Source: Wall Street Oasis.

2. 075How would you approach building a delinquency model?Structured creditHardcase studyNeuberger BermanRisk · Chicago · 2024

   Say this

   I would build it as a roll-rate transition model on vintage cohorts, then overlay macro sensitivity. Group loans by origination vintage and current bucket — current, 30, 60, 90 plus, charge-off — estimate the monthly transition probabilities from history, and project forward. Then stress the transition matrix against unemployment rather than adding a flat haircut.

   Then walk it

   1. Vintage cohorts are the critical design choice. Delinquency depends heavily on seasoning — losses peak 18 to 30 months after origination for consumer loans — so a portfolio-level rate mixes young and mature cohorts and tells you nothing. Vintage curves separate credit quality from portfolio growth.
   2. Roll rates: for each bucket, the probability of moving to the next bucket, staying, or curing back. Estimate from history by segment, because a prime and subprime cohort have completely different cure rates. The 30-to-60 roll rate is usually the most informative early indicator.
   3. Then charge-off and recovery: a loan that reaches 90-plus rolls to charge-off with some probability and lag, and you apply a recovery assumption net of collection costs and time. Loss equals default rate times loss given default, and both need to be modelled, not assumed.
   4. Macro overlay: regress historical roll rates on unemployment, real income and, for secured pools, collateral values. Then run scenarios. This is what regulators require for CECL and IFRS 9 expected credit loss, so the framework is standard rather than exotic.
   5. Validation is where the marks are: back-test on a holdout period, check stability of the transition matrix over time, and watch for the growth illusion — a rapidly growing book has an artificially low delinquency rate because the denominator is full of young loans. That single effect has masked deterioration in countless portfolios.
   6. The honest limitations: roll rates are unstable through structural breaks, and the 2020 payment deferral programmes broke every consumer model because delinquency artificially vanished. So I would report the model output alongside the vintage curves themselves, because the raw curves are harder to fool than the projection.

   Where candidates lose it

   Proposing a single portfolio-level delinquency rate or a regression on borrower characteristics alone. The two things that make this a real answer are vintage cohorts, which control for seasoning, and roll-rate transitions. And naming the growth illusion — a fast-growing book looks clean — is what shows you have seen this go wrong.

   Expect next

   • Why does a growing book understate delinquency?
   • How would you handle the 2020 deferral distortion?
   • Which roll rate is the best early warning?

   Reported by candidates at Neuberger Berman (Risk, Chicago, 2024). Source: Wall Street Oasis.

Firm tags come from public, anonymous candidate reports on Wall Street Oasis: strong signal, not sworn testimony. Firms are named as the places a question was reported, not as partners of Fin Maverick. Answers are written for this page to show how to think out loud; they are not scripts to recite.