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. 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.

2. 096Walk me through a deal on your resume in depth.FitIntermediatesuperdayNeuberger BermanCredit · New York · 2025HPS Investment PartnersCredit · New York · 2021

   Say this

   Pick one deal and go deep rather than covering three. Structure it as: what the company was and why it needed money, what the structure was and why, what you personally did, and what you would do differently. The last part is what separates a good answer from a recital.

   Then walk it

   1. Set up in three sentences: the company, the sector, the size, the situation. 'A 400 million dollar refinancing for a mid-market packaging business owned by a sponsor, where the existing term loan matured in 14 months.' That is enough.
   2. Then the structure and the reasoning. Tenor, tranching, secured or unsecured, fixed or floating, pricing and why. Interviewers on a credit desk will push straight to the covenant package and the leverage, so know your numbers: entry leverage, coverage, and the metric that made the credit committee hesitate.
   3. Then your own contribution, specifically and without inflating it. 'I built the credit model and the covenant headroom analysis, and I drafted the comparable financings section of the pitch.' An analyst who claims to have negotiated the intercreditor is not believed.
   4. Then the judgement layer, which is where marks are won. What was the debated point? Was the leverage right? Did the add-backs stand up? Was the fixed-floating split defensible? Having a view on the deal, not just a description, is what they are listening for.
   5. Then what happened afterwards if you know — did it price inside guidance, does it trade above reoffer, did the company hit the plan. Following your own deal after it closes is a strong signal.
   6. Close with what you would do differently, honestly. 'I would have stress-tested the working capital harder, because the seasonality was bigger than our model assumed.' Self-critical and specific beats flawless.

   Where candidates lose it

   Narrating a process with no numbers and no view. They will interrupt and ask the leverage, the pricing and the covenant package, and if you do not have them the deal reads as something you watched rather than worked on. Also, do not overstate your role — it is the easiest thing in an interview to catch.

   Expect next

   • What was the leverage and the coverage?
   • What was the most negotiated point in the document?
   • Would you have lent to it with your own money?

   Reported by candidates at Neuberger Berman (Credit, New York, 2025); HPS Investment Partners (Credit, New York, 2021). 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.