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Portfolio Management interview preparation

Asset allocation, factor models, risk, attribution and implementation, on global and Indian portfolios. Every question is either traced to a named firm from a public candidate report, or tagged at desk level when we could not trace it, and answers lead with the point, then the mechanism, then the limitation.

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Question bank

100 questions, mapped to the firms that asked them

Questions
100
Traced to a firm
40
Firms
24
Updated
September 2026
Asked at
All firmsBLBlackRock4Vanguard4WMWellington Management4Amundi3ACAQR Capital Management3Neuberger Berman3SCSchroders3Man Group2MSCI2Northern Trust2AllianceBernstein1Apollo Global Management1Blackstone1BMBNY Mellon1Carlyle Group1Fidelity Investments1Goldman Sachs1Invesco1Millennium Management1MSMorgan Stanley1NUNuveen1PIMCO1SSState Street1TPTPG1
Topic
All topicsPortfolio theory5Factor models8Asset allocation11Rebalancing3Portfolio construction7Benchmarks and tracking error5Performance measurement8Risk management6Fixed income and LDI5Currency and global3Implementation and costs5Active versus passive6India markets7Brainteasers5Career and fit16
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  1. 045How would you assess a fund's performance?Performance measurementIntermediatetechnicalNeuberger BermanPrivate Equity · London · 2022

    Say this

    Against the right benchmark, net of everything, decomposed into exposures, and over a period long enough to mean something. Then check that the returns came from the process the manager claims, because that is the only part that tells you anything about the future.

    Then walk it

    1. First the mechanics: net of all fees and costs, time-weighted for a fund and money-weighted only if I am measuring my own experience of it, and against a benchmark matched to the opportunity set rather than a convenient one.
    2. Then decompose. Split excess return into market beta, factor exposures and residual. If a 4 percent excess return is 3 points of small cap and value tilt, I am buying cheap beta at active prices.
    3. Then look at risk-adjusted, not absolute: information ratio against the benchmark, maximum drawdown, and the worst rolling twelve months. And look at the shape of the return series, because a fund that made everything in two quarters is a different proposition from one that grinds.
    4. Then consistency with the stated process. Hit rate, average winner versus average loser, turnover, and whether attribution matches the story. A manager who claims bottom-up picking while the returns come from sector allocation has a process-outcome mismatch, which is the most useful red flag there is.
    5. Then the statistics honesty: five years of monthly returns cannot distinguish skill from luck at any sensible confidence level, so I would weight process, team stability and capacity at least as heavily as the numbers.
    6. For private funds the measures change: IRR is money-weighted and flattered by subscription lines and early exits, so I would look at TVPI and DPI, compare against a public market equivalent, and check the vintage-year cohort rather than the absolute number. Unrealised marks in a young fund are the manager's own opinion.

    Where candidates lose it

    Going straight to returns and Sharpe ratios. The two things that earn this question are decomposing the excess return into replicable factor exposures, and admitting the sample is too short to prove skill. Since the seat here touches private markets, say why IRR is flattered and that DPI and public market equivalent are the honest comparisons.

    Expect next

    • How is assessing a private fund different?
    • How long a record would you want?
    • What would make you redeem?

    Reported by candidates at Neuberger Berman (Private Equity, London, 2022). 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.

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Performance Attribution: Where the Return Came From

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The Investment Thesis: Structure, Evidence, the Few Variables It Depends On, and How It Fails

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Performance Attribution: Where the Return Came FromThe Investment Thesis: Structure, Evidence, the Few Variables It Depends On, and How It Fails
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