Derivatives Foundation interview preparation

Questions

100

Traced to a firm

29

Firms

19

Updated

September 2026

Asked at

All firmsMSMorgan Stanley4Nomura4Akuna Capital2Amundi2HSBC2PIMCO2Bank of America1Barclays1Citadel1DRW1Goldman Sachs1Jane Street1Millennium Management1Mizuho1Old Mission Capital1RCRBC Capital Markets1Scotiabank1UBS1Wells Fargo Securities1

Topic

All topicsForwards and futures10Options basics8Option pricing7The Greeks10Volatility7Option strategies9Swaps and rates7Credit derivatives4Market structure and clearing6Indian derivatives8Trading and markets9Brainteasers6Fit9

Level

AnyCoreIntermediateHard

Type

AnyTechnicalCaseMarket viewBrainteaserFit

1. 059Explain how a credit default swap works.Credit derivativesIntermediatetechnicalCredit tradingRisk management

   Say this

   It is insurance on a borrower. The buyer pays a periodic spread on a notional; if a defined credit event happens, the seller makes them whole on the loss. Buying protection is economically short the credit, and you can do it without owning the bond, which is what makes CDS a trading instrument rather than just a hedge.

   Then walk it

   1. Cash flows: the protection buyer pays a running spread quarterly — say 150 basis points a year on 10 million, so 37,500 a quarter — until maturity or a credit event.
   2. On a credit event, settlement is now almost always by auction. The market determines a recovery price for the reference obligation and the protection seller pays notional times one minus recovery in cash. Physical delivery was the old convention and it broke when notional outstanding exceeded the deliverable bonds.
   3. What counts as a credit event is contractual, not intuitive: bankruptcy, failure to pay, and for some entities restructuring. A Determinations Committee at ISDA rules on it, and the rulings have been contested — the Greek restructuring and several cases of manufactured defaults are why the definitions were tightened in 2014 and again on narrowly tailored credit events.
   4. Uses: a bank hedges a loan book without selling the loans and damaging the client relationship; a fund expresses a negative view where the bonds are impossible to borrow; an investor buys a bond and sells protection to create synthetic exposure where no cash bond exists at that maturity.
   5. Index CDS matters more than single name now. CDX and iTraxx are standardised baskets that trade with far more liquidity than individual names, and they are how most macro credit risk is expressed and hedged.
   6. The limitations to name. It is a bilateral contract, so you are exposed to the seller — the 2008 lesson, where protection bought from AIG was worth what AIG was worth. And jump-to-default risk means the mark moves smoothly and the payoff does not, which is exactly the risk profile that looks harmless in a value-at-risk model right up until it isn't.

   Where candidates lose it

   Describing CDS as a bond short and stopping. Get the auction settlement and the contractual definition of a credit event in, because that is where the real disputes and losses happen. And name counterparty risk on the protection seller — the buyer is only hedged if the seller survives.

   Expect next

   • Who decides whether a credit event occurred?
   • Why did the market move from physical to auction settlement?
   • How is buying index protection different from shorting a basket of bonds?
2. 064What does a central counterparty actually do, and does it eliminate risk?Market structure and clearingIntermediatetechnicalClearing and riskRisk management

   Say this

   A CCP interposes itself between the two sides of every trade, so each party faces the clearing house instead of each other. It does not eliminate risk — it mutualises and concentrates it. Bilateral credit risk becomes a single, heavily collateralised exposure to an institution that is now systemically critical.

   Then walk it

   1. Novation is the mechanism: one trade becomes two, buyer to CCP and CCP to seller. The CCP is flat in market terms and long credit risk to everyone.
   2. It manages that with a default waterfall: the defaulter's initial margin first, then their default fund contribution, then the CCP's own skin in the game, then the surviving members' mutualised default fund, and in the extreme, assessment rights or variation margin haircutting.
   3. Multilateral netting is the underrated benefit. Ten dealers with offsetting positions net down to a fraction of the gross notional, which cuts collateral and systemic exposure far more than any single risk transfer.
   4. But the risk did not vanish. It concentrated. A handful of CCPs now sit at the centre of the global derivatives market, they are all members of each other's ecosystems through the same dealers, and a CCP failure is close to unthinkable in the way that made pre-2008 assumptions dangerous.
   5. The procyclicality problem is the live one. Margin models raise requirements when volatility rises, so the CCP demands cash from everyone exactly when cash is scarce. March 2020 and the 2022 UK gilt and European energy episodes were all liquidity events driven substantially by margin calls.
   6. So my honest summary: clearing turned an opaque web of bilateral credit exposures into a transparent, collateralised, procyclical liquidity demand. That is a better trade-off than 2008, and it is a different risk, not the absence of one. The nickel squeeze on the LME in 2022 — where the exchange cancelled trades to protect itself and its members — showed the governance question is unresolved.

   Where candidates lose it

   Saying a CCP removes counterparty risk. It transforms credit risk into liquidity risk and concentrates it, and the procyclical margin point is the sophisticated answer. Naming a specific episode — March 2020, the gilt crisis, LME nickel — is what makes it credible.

   Expect next

   • Walk me through the default waterfall.
   • Why is CCP margin procyclical, and can that be fixed?
   • What went wrong at the LME in the 2022 nickel episode?
3. 065Distinguish initial margin from variation margin in the OTC world, and tell me why initial margin rules changed.Market structure and clearingIntermediatetechnicalClearing and riskRisk management

   Say this

   Variation margin covers the loss that has already happened — the daily mark-to-market. Initial margin covers the loss that might happen between a counterparty defaulting and you closing out the position, typically over a ten-day horizon at a 99 percent confidence level. Before 2016, uncleared OTC trades exchanged variation margin but almost no initial margin at all, and that gap is what the Uncleared Margin Rules closed.

   Then walk it

   1. The conceptual split: variation margin is a settlement of value that has moved and it is netted against your exposure. Initial margin is a buffer against future moves and it must be segregated, held by a third party, and not rehypothecated.
   2. That segregation requirement is the operationally expensive part. You cannot use the initial margin you received, so it is a genuine drag on balance sheet, unlike variation margin which offsets an exposure.
   3. Why it changed: in 2008 the uncollateralised and under-collateralised bilateral book was the transmission mechanism. AIG's positions had variation margin obligations that exploded and no meaningful initial margin buffer. The Basel and IOSCO framework from 2013, phased in from 2016 to 2022, required two-way initial margin on uncleared derivatives above declining notional thresholds.
   4. How it is calculated: either a regulatory schedule based on notional and asset class, which is crude and punitive, or ISDA SIMM, a standardised sensitivity-based model that everyone uses so that both sides compute the same number and disputes stay manageable.
   5. The threshold mechanic is worth knowing: a 50 million euro or dollar initial margin threshold per counterparty group means smaller relationships never actually post, which is why the final phases mostly captured buy-side firms rather than dealers.
   6. The honest consequence: the rules made uncleared derivatives materially more expensive, which was the intent — it pushed volume into clearing. The cost is that bespoke hedges are now expensive for exactly the end users who need them most, and some corporates responded by hedging less rather than differently. That is the unintended outcome regulators are still arguing about.

   Where candidates lose it

   Mixing the two up, or describing initial margin as 'a deposit'. The distinction is backward-looking versus forward-looking, and the key operational fact is that initial margin must be segregated while variation margin is not. Naming SIMM and the notional phase-in shows you know the actual regime.

   Expect next

   • Why must initial margin be segregated?
   • What is SIMM and why did the industry standardise on one model?
   • Did the rules push business into clearing, and at what cost to end users?
4. 066What is an ISDA Master Agreement and what does the CSA do?Market structure and clearingIntermediatetechnicalDerivatives operationsRisk management

   Say this

   The ISDA Master is the contract that governs all trades between two counterparties, so each new deal is a short confirmation under one legal framework rather than a fresh negotiation. Its most important function is close-out netting: on a default, all trades collapse into a single net amount. The Credit Support Annex is the collateral schedule bolted onto it — what you post, when, in what form, and with what thresholds.

   Then walk it

   1. Structure: the Master Agreement, a Schedule with the negotiated elections, definitions booklets by asset class, the CSA for collateral, and then individual trade confirmations. The confirmation for a swap can be a page because everything else is upstairs.
   2. Close-out netting is the commercial heart of it. Without it, a defaulting counterparty's administrator could cherry-pick — enforce the trades in their favour and disclaim the rest. Netting is why gross notional figures overstate real exposure by an order of magnitude, and why the enforceability opinion in each jurisdiction matters so much.
   3. Events of default and termination events are the other core: failure to pay, bankruptcy, cross-default, and negotiated ones like a ratings downgrade trigger or a NAV decline clause for a fund.
   4. The CSA sets the collateral mechanics: threshold, which is the unsecured amount you tolerate before any collateral moves; minimum transfer amount, to avoid moving trivial sums; eligible collateral and haircuts; and the valuation and dispute process.
   5. Those parameters are a real negotiation, not boilerplate. A high threshold means less operational friction and more credit exposure. Asymmetric thresholds, where the weaker credit posts and the dealer does not, were standard before the crisis and are much rarer now.
   6. India-specific note: the enforceability of close-out netting was genuinely uncertain here until the Bilateral Netting of Qualified Financial Contracts Act 2020, which is why bilateral derivative activity with Indian counterparties was constrained and priced accordingly. That legislation is one reason the onshore OTC market has been able to develop.

   Where candidates lose it

   Calling the ISDA Master 'the derivatives contract' without naming close-out netting. Netting is the reason the document exists and the reason gross notional is a misleading number. For an India-facing interview, knowing the 2020 netting legislation is a genuine differentiator.

   Expect next

   • Why is close-out netting so important to a dealer's capital?
   • What is the difference between a threshold and a minimum transfer amount?
   • How did the Indian netting legislation change the market here?
5. 068What does prime brokerage do, and how does it connect to the derivatives business?Market structure and clearingIntermediatetechnicalMSMorgan StanleyGlobal Markets · London · 2024

   Say this

   Prime brokerage is the outsourced back and middle office for a hedge fund, plus the financing. It provides custody, clearing, consolidated reporting, margin lending, stock borrow for shorting, and synthetic exposure through swaps. It connects to derivatives because the synthetic financing business — total return swaps and portfolio swaps — is where much of the balance sheet and much of the revenue now sits.

   Then walk it

   1. The core services: execution and clearing across brokers, custody of assets, one consolidated report of positions and profit and loss, cash management, and capital introduction to help the fund raise money.
   2. The revenue is mostly financing. Margin lending on the long book, the spread on stock borrow for the short book, and fees on the synthetic side. Rebate on short sale proceeds is a bigger line than most people expect.
   3. Synthetic prime is the derivatives link. Instead of the fund buying the stock and borrowing money, the prime broker holds the stock and writes a total return swap to the fund. The fund gets the economics, the broker keeps the position and charges a financing spread. It is more capital-efficient for the fund and often cheaper than cash prime.
   4. That structure also has consequences the industry learned about the hard way. Synthetic positions are not disclosed as ownership in most jurisdictions, and because each broker sees only its own slice, a client can build enormous concentrated leverage across several primes. That is exactly what Archegos did in 2021, and it cost Credit Suisse over 5 billion dollars.
   5. The risk management question for the broker is margin methodology on a concentrated, illiquid book — and whether you have the client's full picture. A dynamic margin model that accounts for concentration and liquidation horizon is the difference between a profitable business and Archegos.
   6. For the fund, counterparty risk cuts the other way, which is the Lehman lesson: assets that were rehypothecated in the UK entity were part of the insolvency estate, and funds lost access for years. Which is why serious funds now run multiple primes, negotiate rehypothecation limits, and monitor where their assets actually sit.

   Where candidates lose it

   Reciting a service list. A Global Markets interviewer wants to hear where the money is — financing, not execution — and how synthetic prime uses derivatives. Naming Archegos on the broker's side and Lehman on the fund's side turns a description into an understanding of the risk.

   Expect next

   • Where does a prime broker actually make its money?
   • What is synthetic prime and why do funds use it?
   • What went wrong in the Archegos episode?

   Reported by candidates at Morgan Stanley (Global Markets, London, 2024). Source: Wall Street Oasis.

6. 069What makes the Indian index options market different from other major markets?Indian derivativesIntermediatetechnicalIndian derivatives desksIndian broking

   Say this

   Scale and concentration. By contract count India has been the largest derivatives market in the world for several years, and almost all of it is short-dated index options — Nifty and Bank Nifty weeklies — traded by a very large retail base. The premium turnover is a fraction of the notional, so the volume statistics flatter it enormously.

   Then walk it

   1. Structure: all index options are European and cash-settled on a weighted average price of the last half hour, which removes assignment and delivery mechanics entirely and makes the product very easy for retail to access.
   2. Lot sizes are set in notional terms and periodically revised, and SEBI raised them substantially in late 2024 specifically to make the minimum ticket larger and less accessible to small accounts.
   3. The expiry calendar is the defining feature. A weekly expiry means enormous gamma and theta concentration in the final days, and a very large share of total volume happens on expiry day itself in options that are almost entirely time value.
   4. Single stock derivatives exist but are a much smaller share, and they are physically settled since 2018 — which changed behaviour, because a retail trader holding an in-the-money single stock option now faces delivery obligations and much larger margins into expiry.
   5. Participants: proprietary and algorithmic firms dominate the profitable side, foreign portfolio investors and domestic institutions use index futures and options for hedging, and retail is overwhelmingly on the option-selling and cheap-option-buying side. The Jane Street enforcement matter in 2025 made the size of the prop share very public.
   6. The honest read: the volume numbers are not comparable to US or European markets, because a 50 rupee out-of-the-money Nifty option is one contract in the statistics and nearly no risk transfer. Premium turnover, not contract count, is the number to quote if you want to sound like you know the market rather than the headline.

   Where candidates lose it

   Quoting 'India is the world's largest derivatives market' as though it settles the matter. The comparison is by contract count, dominated by cheap weekly options, and premium turnover tells a different story. Making that distinction unprompted is the single best signal you understand this market.

   Expect next

   • Why is contract count a misleading comparison?
   • What changed when single stock derivatives moved to physical settlement?
   • Who is actually making money in this market?
7. 073How do currency derivatives work on the Indian exchanges, and what are the constraints?Indian derivativesIntermediatetechnicalIndian derivatives desksFX derivatives

   Say this

   Exchange-traded currency futures and options on USD/INR and a few crosses, cash-settled in rupees against the RBI reference rate, with small lot sizes — a thousand dollars per futures lot. The defining constraint is that use is tied to having an underlying exposure: the RBI tightened enforcement of that in 2023 and effectively ended the speculative retail segment.

   Then walk it

   1. Products: USD/INR futures and options are by far the most liquid, plus EUR/INR, GBP/INR and JPY/INR futures with thin volumes, and cross-currency pairs like EUR/USD listed in rupee terms.
   2. Settlement is cash against the RBI reference rate on the expiry date, so there is no delivery of dollars. That makes it accessible but also means the contract is a proxy for, rather than a claim on, the spot market.
   3. Position limits are specific: a client-level cap on USD/INR positions, with larger limits only against demonstrated underlying exposure. The April 2023 clarification requiring participants to have a contracted exposure — and brokers to obtain that declaration — collapsed exchange volumes by a large multiple almost overnight.
   4. So the onshore exchange market is now mostly a hedging venue, and price discovery in the rupee happens elsewhere: the interbank OTC market onshore, and the non-deliverable forward market offshore in Singapore, London and Dubai.
   5. That NDF market is the thing to understand. It exists because the rupee is not fully convertible, it trades outside RBI jurisdiction, and it has repeatedly led onshore pricing during stress. The RBI's response was to let onshore banks participate in the NDF market from 2020, and to build the GIFT City IFSC as an onshore-offshore venue where rupee derivatives trade in dollars.
   6. The honest read on the market: it is small relative to India's trade flows because the regulatory framework prioritises controlling speculation over depth. That is a defensible policy choice — it limits the currency crisis channel — but it means a corporate hedging rupee exposure gets worse liquidity beyond a year than a comparable exposure in a freely convertible currency, and the difference shows up in the price.

   Where candidates lose it

   Describing the contracts without the exposure requirement and the NDF market. The 2023 underlying-exposure enforcement is the single most important recent fact about this market, and if you cannot explain why price discovery migrated offshore, you have described the plumbing without understanding the market.

   Expect next

   • What is an NDF and why does it exist for the rupee?
   • What changed for exchange volumes in 2023 and why?
   • How does GIFT City fit into this?
8. 074Why does Bank Nifty trade differently from Nifty in the options market?Indian derivativesIntermediatetechnicalIndian derivatives desksIndian broking

   Say this

   Because it is a narrow, highly concentrated sector index rather than a diversified one. Twelve banking names, with the top three carrying most of the weight, so it realises materially higher volatility than Nifty and its implied volatility sits several points above. That volatility difference is why it attracted the most aggressive short-dated option activity.

   Then walk it

   1. Composition: Bank Nifty is a dozen banking stocks with heavy concentration in the largest private banks. Nifty is 50 names across sectors, and financials are already its largest weight — which means the two indices are highly correlated but Bank Nifty is the levered version.
   2. Realised volatility runs perhaps 1.2 to 1.5 times Nifty's, and implied volatility follows, so option premiums are larger in both absolute and percentage terms. For a trader wanting the most movement per rupee of premium, Bank Nifty was the obvious instrument.
   3. It is also more event-driven. Credit policy, asset quality data, results from three or four large banks, and rate expectations all hit the whole index at once. Single-name news in HDFC Bank or ICICI moves the index in a way no single name moves Nifty.
   4. Consequence for the surface: skew is steeper and the term structure is more reactive, because a banking-sector shock is a credit shock and the market prices the left tail accordingly.
   5. The regulatory arc matters here. Bank Nifty weekly options had become the single largest contract in the world by volume, and SEBI's late-2024 rationalisation removed its weekly expiry, leaving the weekly to Nifty on the NSE. Volume redistributed rather than disappeared, but the Bank Nifty weekly ecosystem is gone.
   6. The trading implication I would draw: a Nifty against Bank Nifty relative-volatility trade is a clean expression of a view on whether financial-sector dispersion is going to rise. It is short correlation in one index and long it in the other, and it is a more considered trade than simply buying whichever premium looks cheap.

   Where candidates lose it

   Saying 'Bank Nifty is more volatile' without explaining the concentration mechanism, or missing that its weekly expiry was removed in the 2024 reforms. An Indian desk will assume you have traded it, so being current on the expiry change is the test.

   Expect next

   • How would you trade Nifty volatility against Bank Nifty volatility?
   • What happened to Bank Nifty weekly volumes after the 2024 changes?
   • Why is Bank Nifty skew steeper?
9. 076What does the Indian interest rate derivatives market look like, and why is it smaller than you would expect?Indian derivativesIntermediatetechnicalIndian derivatives desksRates derivatives

   Say this

   The liquid instrument is the overnight indexed swap against MIBOR, used mainly by banks and primary dealers to express rate views and manage their books. Bond futures exist and are thin, and the corporate swap market is small. The reason is that most Indian corporate borrowing is bank credit at a floating benchmark that resets anyway, so the hedging demand a deep swap market needs simply is not there.

   Then walk it

   1. OIS is the core. The overnight rate against MIBOR, liquid out to about five years and genuinely liquid in the one-year and five-year, and it is where the market's rate expectations are actually observable. If you want to know what the market thinks the RBI will do, you read the OIS curve, not the bond curve.
   2. Government bond futures on NSE and BSE exist but have never developed sustained liquidity, despite several relaunches. Banks hedge duration in the cash market instead, partly because the held-to-maturity accounting category removes the need to mark and therefore the need to hedge.
   3. Forward rate agreements and interest rate swaps with corporates happen, but the volumes are modest. Most Indian corporate debt is bank loans at a floating benchmark — previously the base rate or MCLR, now largely external benchmark linked — so companies are already floating and the treasurer's question is whether to fix, which many simply do not.
   4. The market also carries a legacy of caution. The 2008 to 2011 episode where corporates lost heavily on complex currency and rate structures sold by banks, and the resulting litigation and RBI scrutiny, made both boards and banks more conservative about derivative hedging than the economics alone would suggest.
   5. What is developing: RBI has progressively liberalised, allowing more participants into OIS and permitting banks to deal in offshore rupee derivatives, and the retail and non-bank participation frameworks have widened. The shift of benchmarks after LIBOR's end accelerated the use of overnight-indexed conventions.
   6. The honest structural point: a deep rates derivative market needs a liquid, marked, widely held government bond market, and India's is dominated by banks holding to maturity under statutory requirements. Until that holding structure changes, the derivative market will stay a bank-to-bank market rather than a broad hedging venue — which is the real answer to why it is smaller than the size of the economy implies.

   Where candidates lose it

   Assuming the Indian rates market mirrors the US or Europe. The interesting answer identifies the cause — statutory bond holdings, held-to-maturity accounting, and floating-rate bank credit — rather than just noting that volumes are low. Naming OIS against MIBOR as the real expectations curve is the practitioner detail.

   Expect next

   • Why have bond futures repeatedly failed to gain traction here?
   • Where would you read the market's view on the next RBI move?
   • What would have to change for the corporate swap market to grow?
10. 098When would you use C++ over Python on a trading desk?FitIntermediatetechnicalWells Fargo SecuritiesSales and Trading · Charlotte · 2026

    Say this

    C++ where latency and deterministic performance matter — the execution path, the pricing engine inside a market-making loop, anything in the hot path measured in microseconds. Python everywhere else: research, calibration, backtesting, reporting and glue. Most desks run both, with the Python layer calling into C++ libraries.

    Then walk it

    1. The real distinction is the hot path versus everything else. If code runs a million times a second between a market data tick and an order, you need C++ or something comparable — predictable memory layout, no garbage collector pauses, control over allocation and cache behaviour.
    2. Python's cost is not just raw speed, it is the interpreter's unpredictability. A garbage collection pause of a few milliseconds is irrelevant in research and fatal in a quoting engine.
    3. Where Python wins decisively: iteration speed in research, the numerical and data ecosystem, and readability for code that a team has to reason about. Pandas, NumPy and the scientific stack mean a volatility surface calibration takes an afternoon rather than a week.
    4. The standard architecture is both. Numerical kernels in C++ exposed through bindings, with Python orchestrating. The heavy libraries you use in Python are C or C++ underneath anyway, so a vectorised NumPy routine can be within a small factor of hand-written C++.
    5. So the practical answer: write it in Python first, measure, and only rewrite the part that is actually the bottleneck in C++. Premature optimisation in C++ costs weeks of development time for latency nobody was going to notice.
    6. And I would be honest about my own level. If I am stronger in Python, I say that and say what I have done in C++ — knowing enough to read a pricing library and understand why it is written the way it is, versus being able to write a low-latency engine, are different claims and I would not blur them.

    Where candidates lose it

    Answering 'C++ is faster' and stopping. The interviewer wants the hot-path distinction, the point that most production stacks are both, and the discipline of measuring before rewriting. And do not overclaim your C++ — a technical interviewer will test it in the next question.

    Expect next

    • What specifically would you put in C++ on a market-making system?
    • How fast can Python get if you vectorise properly?
    • How strong is your C++, honestly?

    Reported by candidates at Wells Fargo Securities (Sales and Trading, Charlotte, 2026). 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.