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. 071Walk me through SEBI's margin framework and position limits for derivatives.Indian derivativesHardtechnicalIndian derivatives desksClearing and risk

   Say this

   Margin has two main layers: SPAN, which is the portfolio risk margin computed by the clearing corporation across scenarios, and exposure margin on top of it. Since 2020, margins are collected upfront and monitored at random intraday snapshots rather than end of day. Position limits are set separately for clients, trading members and foreign investors, in notional or open-interest terms.

   Then walk it

   1. SPAN margin: the clearing corporation revalues your whole portfolio under a grid of price and volatility scenarios and charges the worst case. It gives credit for genuine offsets, which is why a hedged spread costs far less margin than two outright positions.
   2. Exposure margin sits on top as an additional buffer, and short option positions attract specific additional requirements. Close to expiry, extra margins apply to in-the-money and near-the-money short positions because of settlement risk.
   3. The 2020 peak margin reform is the structural change worth knowing. Brokers must collect the full upfront margin, and compliance is checked against four random intraday snapshots each day, with penalties for shortfalls. That killed the intraday leverage brokers used to extend, which had been 20 to 50 times.
   4. Physical settlement in single stock derivatives compounds it: in the expiry week, margins on in-the-money single stock options escalate sharply, because delivery obligations arise. Retail traders regularly get caught by this.
   5. Position limits: client-level limits on index options in notional terms, market-wide position limits on single stocks expressed as a share of free float with a 95 percent trigger that bans new positions, and separate FPI category limits. Index option limits were tightened in 2025 with delta-adjusted rather than notional measurement, which was a direct response to the concentration issues the year before.
   6. Where the framework is genuinely good and where it strains: the upfront margin regime materially reduced client default risk and broker failures, which was the point. The strain is procyclicality and cost — margins rise into volatility, spreads widen, and hedging gets more expensive precisely when it is most needed. And measuring index option limits in notional rather than delta terms was an obvious gap until it was fixed.

   Where candidates lose it

   Naming SPAN and stopping. An Indian desk expects the 2020 peak-margin reform and the intraday snapshot mechanic, because it changed the whole broking business model. And the delta-adjusted position limit change is recent enough that knowing it marks you as current.

   Expect next

   • What did peak margin reporting do to the broking industry?
   • Why did SEBI move to delta-adjusted position limits?
   • How does SPAN give credit for a hedged position?
2. 072SEBI data shows most individual derivatives traders lose money. Should retail access be restricted?Indian derivativesHardsuperdayIndian derivatives desksIndian broking

   Say this

   I would restrict the product design and the leverage rather than the access. The data is stark — SEBI's studies found roughly nine in ten individual traders losing money, with aggregate losses in the tens of thousands of crores — but an outright ban pushes the same demand into dabba trading and offshore apps, where there is no margin, no clearing and no recourse.

   Then walk it

   1. What the data actually says: across SEBI's 2023 and 2024 studies, the large majority of individual F&O traders lost money, losses were concentrated in short-dated index options, and a sizeable share of participants were young and new to markets. The average loss per loss-making trader was several times the median Indian household's annual savings capacity.
   2. The structural causes are identifiable rather than mysterious: weekly expiries create a near-daily lottery, tiny premiums make the minimum bet trivially small, mobile apps gamified the interface, and finfluencer marketing sold option selling as income.
   3. What SEBI has done and what I think is right: fewer weekly expiries, larger contract sizes, upfront margin collection, higher near-expiry margins, mandatory risk disclosures, and action against unregistered advisers. These raise the ticket size and remove the leverage without banning the instrument.
   4. What I would add: a suitability step for first-time derivatives users, a hard cap on intraday leverage for new accounts, and removing the ability to build a position out of many tiny lottery tickets. And I would look hard at broker incentives, since brokerage revenue is proportional to churn.
   5. The counter-argument to take seriously: adults are entitled to take risk with their own money, retail participation adds liquidity that institutional hedgers benefit from, and the same loss statistics are true of day trading equities. Singling out options is partly a choice about which losses we find visible.
   6. Where I land, and I would say it plainly: the case for intervention here is not paternalism about risk, it is that the product design was engineered for frequency rather than for hedging. Fix the design and the leverage, keep the access, and be honest that the market will lose real revenue when you do — which is why exchanges and brokers lobbied against every one of these changes.

   Where candidates lose it

   Taking a side without engaging the counter-argument, or reciting the loss statistics without a policy view. Interviewers on Indian desks ask this to see if you can hold a commercial position and an ethical one at once. Name the displacement risk — dabba trading and offshore apps — because that is the strongest argument against a ban.

   Expect next

   • Would a ban just move the activity offshore?
   • What is the strongest argument against restricting access?
   • Whose revenue falls if you are right?
3. 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?
4. 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?
5. 075How does a foreign investor hedge Indian equity exposure, and why does so much of it happen offshore?Indian derivativesHardsuperdayIndian derivatives desksEquity derivatives

   Say this

   Three routes: onshore index futures and options through an FPI registration, offshore instruments like SGX or GIFT Nifty and participatory notes, and total return swaps with a bank that holds the onshore position. The choice is driven less by pricing than by registration burden, tax treatment and position limits — which is why a large share of the risk transfer historically sat offshore.

   Then walk it

   1. Onshore: register as an FPI, get a custodian, and trade Nifty futures and options directly. You get the tightest pricing and deepest liquidity, and you accept Indian tax, reporting and category-level position limits.
   2. Offshore listed: the Nifty contract that traded on SGX migrated to NSE IX at GIFT City in 2023 as GIFT Nifty. It settles in dollars, trades nearly 21 hours, and lets an offshore investor take Nifty risk without an FPI registration or rupee exposure.
   3. Synthetic: a total return swap or participatory note written by a bank that holds the onshore hedge. The client gets the economics in dollars with no Indian registration. The cost is a financing spread and full counterparty risk to the issuer.
   4. The drivers of the offshore preference are structural: registration takes time, the securities transaction tax and capital gains treatment change the after-tax return, and the currency leg has to be hedged separately in a market with its own constraints. P-notes were largely a regulatory-arbitrage product and SEBI has steadily squeezed them.
   5. GIFT City is the deliberate policy answer — bring the offshore activity onshore into a tax-neutral IFSC with dollar settlement. The migration of the SGX Nifty contract was the flagship success, and rupee derivatives and offshore banking units are the next phase.
   6. The risk to flag, and it is the one that actually catches people: currency and equity are correlated for a foreign investor in India. The rupee weakens when foreign flows leave, which is when equities are falling, so an unhedged currency leg doubles the drawdown. Hedging the equity with GIFT Nifty in dollars looks clean but embeds the rupee move into the contract's value rather than removing it — you have to be explicit about which risk each leg is carrying.

   Where candidates lose it

   Listing the routes without the reason. The interviewer wants the drivers — registration, tax, limits — and the GIFT Nifty migration as the policy response. And the equity-currency correlation for a foreign investor is the analytical point most candidates miss entirely.

   Expect next

   • What happened to the SGX Nifty contract, and why did it matter?
   • Why has SEBI discouraged participatory notes?
   • How correlated are Indian equity drawdowns and rupee depreciation?
6. 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?
7. 077How do you view the market today?Trading and marketsIntermediatetechnicalMizuhoSales and Trading · New York · 2026

   Say this

   Give a structure, not a survey. I would frame it as: here is what the market is currently pricing, here is where I think that pricing is wrong, and here is the trade. Three levels quoted from memory, one view, one thing that would change my mind.

   Then walk it

   1. Open with the pricing, because that is how a trader talks. Where the policy rate is and how many cuts or hikes the curve has in it over the next year. Where ten-year yields are. Where index implied volatility is against realised. Those three numbers tell the interviewer you look at screens.
   2. Then the regime read in one sentence. Something like: the market is pricing a soft landing with the equity risk premium near its lows and volatility subdued, which means the price of being wrong on growth is unusually high.
   3. Then your actual view, stated as a disagreement. Not 'I am cautious' — rather, 'I think the curve has too many cuts priced for the inflation prints we are getting, so I would be paid at the front end.'
   4. Then the derivatives expression, because this is a derivatives seat. If the view is that realised volatility will exceed the low implied, own gamma. If the view is directional with a date attached, use a spread rather than an outright.
   5. Then the falsifier. One data point or level that would make you abandon the view. This is the part that makes you sound like someone who has run risk rather than read commentary.
   6. And know your own numbers. If you quote a level you must be able to say where it was three months ago and what moved it. A wrong number said confidently is worse than saying 'roughly 4 and a quarter, I have not checked this morning'.

   Where candidates lose it

   Summarising the news. Everyone can say inflation is coming down and the Fed is data-dependent. The answer that gets a callback quotes three levels, names one disagreement with the market's pricing, expresses it as a trade, and says what would falsify it. And never invent a number you cannot defend.

   Expect next

   • So what trade would you put on?
   • Where were those levels three months ago?
   • What would make you change your mind?

   Reported by candidates at Mizuho (Sales and Trading, New York, 2026). Source: Wall Street Oasis.

8. 078What is the current market sentiment?Trading and marketsIntermediatetechnicalNomuraGlobal Markets · New York · 2026

   Say this

   Answer it with positioning and prices rather than adjectives. Sentiment is observable: where implied volatility sits versus realised, how steep the skew is, what the put-call ratio and futures positioning look like, and how credit spreads are behaving relative to equities. Then say whether sentiment and fundamentals are pointing the same way.

   Then walk it

   1. The measurable sentiment indicators I would name: index implied volatility and its term structure, the skew or 25-delta risk reversal, high yield credit spreads, and CFTC or equivalent positioning data on the major futures.
   2. The most useful single read is often implied versus realised volatility. A low VIX with even lower realised volatility means complacency is cheap; a low VIX against rising realised means the market has not caught up yet.
   3. Then a cross-asset check, because sentiment is only interesting when assets disagree. Equities at highs with credit spreads widening, or gold making highs with real yields also rising, tells you something is unresolved. Consistent moves across assets tell you less.
   4. Then the positioning point, which is where sentiment becomes tradeable: extreme one-sided positioning makes the market fragile to news that would otherwise be minor, because the marginal buyer is already fully invested.
   5. Say it in one line at the end: 'so the market is priced for a benign outcome with low protection demand, which means the payoff to owning tail hedges is better than usual even though nothing is obviously wrong.' That is a sentiment read that ends in a trade.
   6. And the caveat worth volunteering: sentiment is a terrible timing tool. Extremes can persist for quarters, and 'everyone is bullish' has been a losing short signal far more often than a winning one. I would use it for sizing and for hedging cost, not for entry.

   Where candidates lose it

   Answering with a feeling — 'cautiously optimistic', 'risk-on'. On a markets desk, sentiment means observable positioning and prices. Name four indicators, say what they currently show, and finish with what it implies for the cost of protection. Then admit it is not a timing signal.

   Expect next

   • Which single indicator would you rely on most, and why?
   • Where do assets currently disagree with each other?
   • Has extreme positioning ever been a good short signal?

   Reported by candidates at Nomura (Global Markets, New York, 2026). Source: Wall Street Oasis.

9. 079Why is crypto lagging gold even though both are supposed to be hedges?Trading and marketsHardsuperdayNomuraGlobal Markets · New York · 2026

   Say this

   Because they are not hedging the same thing. Gold is a hedge against monetary debasement and geopolitical risk, with central banks as a price-insensitive structural buyer. Bitcoin behaves empirically like a high-beta risk asset — it correlates with the Nasdaq and with liquidity conditions, not with fear. The 'digital gold' framing is a narrative, and the correlation data has never really supported it.

   Then walk it

   1. Look at the behaviour in stress. In March 2020, in the 2022 rate shock, and in most risk-off episodes, bitcoin fell with equities and often fell harder. Gold's drawdowns in the same episodes were smaller and shorter. That is not a hedge, that is a levered risk asset.
   2. The buyer base explains most of it. Central bank gold buying has been running at record levels since 2022, accelerated by the freezing of Russian reserves, which gave every non-aligned reserve manager a reason to hold an asset no one can sanction. That flow is price-insensitive and persistent.
   3. Crypto's marginal buyer is discretionary risk capital, plus ETF flows that are themselves procyclical. When liquidity tightens, that buyer disappears — which is precisely when a hedge is supposed to work.
   4. There is a real overlap in the thesis: both are non-sovereign stores of value with no yield. But gold has four thousand years of institutional acceptance, a central bank bid, and jewellery demand as a floor. Bitcoin has a fixed supply schedule and a much shorter track record, and its volatility is five to eight times gold's, which makes it unusable as a reserve asset regardless of the thesis.
   5. The honest possibility that it changes: as the holder base institutionalises, correlation could fall and behaviour could converge towards gold. There is some evidence of that in the post-ETF period. I would want several full cycles before believing it.
   6. So the way I would frame it for a client: gold is a hedge you hold and forget, crypto is a risk position with an option on monetary regime change. Sizing them the same way is the error, and calling them both hedges is how that error gets made.

   Where candidates lose it

   Accepting the premise that both are hedges and looking for a reason one is underperforming. Reject the premise: the correlation data says bitcoin is a risk asset. And name the central bank gold bid post-2022, because that is the specific flow story behind the divergence.

   Expect next

   • Could crypto's correlation profile change as the holder base institutionalises?
   • Why has central bank gold demand been so strong since 2022?
   • How would you size the two differently in a portfolio?

   Reported by candidates at Nomura (Global Markets, New York, 2026). Source: Wall Street Oasis.

10. 080How does AI affect equities and rates?Trading and marketsHardsuperdayNomuraGlobal Markets · New York · 2026

    Say this

    In equities it has concentrated the index and shifted the story from software margins to capital expenditure, which changes the quality of the earnings. In rates the channel is more interesting and less discussed: a genuine productivity shock raises the neutral real rate, and the capital spending itself is a large new demand for financing. So AI is arguably a steeper-curve, higher-real-yield story as much as an equity story.

    Then walk it

    1. Equities first, and the honest structural fact: index concentration is at multi-decade highs, with a handful of names driving most of the return. That makes the index itself a different instrument than it was — higher single-name risk inside a supposedly diversified product, which shows up as index volatility being low while dispersion is high.
    2. The earnings-quality shift matters for valuation. The hyperscalers moved from asset-light software economics to spending a large share of cash flow on data centres and chips. Depreciation follows with a lag, so reported margins face a headwind two to three years after the spending, and the return on that capital is the open question.
    3. The derivatives expression of that: correlation is low and dispersion high, so index volatility understates single-name risk. Being long single-name volatility and short index volatility — long dispersion — is the natural way to express scepticism without taking a directional view.
    4. Rates channel one: if AI genuinely raises productivity growth, the neutral real rate rises, which means the whole curve settles higher than pre-2020 assumptions and long-duration assets are structurally repriced.
    5. Rates channel two, which is nearer term: the capital expenditure is enormous and increasingly debt-financed, including a fast-growing data-centre securitisation and private credit market. That is a new, large supply of credit issuance, and it concentrates exposure to a single technology thesis inside the credit market.
    6. Where I would be honest: nobody knows if the productivity effect is real, and previous technology capital cycles — railways, fibre in 1999 — delivered the technology and destroyed the capital. So I would hold the equity view loosely, and note that the trade with the clearest logic is the dispersion trade, because it profits from the concentration being mispriced regardless of which way the thesis resolves.

    Where candidates lose it

    Giving a generic technology-optimism answer. On a Global Markets desk the differentiator is the rates channel — neutral rate plus financing supply — and the derivatives expression, which is the dispersion trade. And having the humility to name the fibre 1999 comparison keeps it from sounding promotional.

    Expect next

    • What is a dispersion trade and how would you put it on?
    • Why would AI raise the neutral rate?
    • What does the 1999 telecom build-out tell you about this one?

    Reported by candidates at Nomura (Global Markets, New York, 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.