Private Wealth Management interview preparation
Client discovery, goals-based planning, asset allocation, tax and estate structuring, products and the commercial reality of building a book, with substantial Indian content on PMS, AIFs, SEBI's adviser rules and family structures. 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.
100 questions, mapped to the firms that asked them
- Questions
- 100
- Traced to a firm
- 22
- Firms
- 13
- Updated
- September 2026
007How do you actually measure risk for a private client? Is volatility the right measure?Family officesWealth management
Say this
Volatility is the wrong unit to talk to a client in. For a private client the risks that matter are drawdown, the chance of not funding a dated goal, and running out of liquid money at the wrong time. I would quantify all three and use standard deviation only inside the model.
Then walk it
- Maximum drawdown and time to recover, in rupees. 'This portfolio lost 38 percent over eight months in 2008 and took about three years to get back' is a sentence a client can act on. 'Standard deviation of 14 percent' is not.
- Shortfall risk against the goal: the probability the plan fails. That is what goals-based planning measures, and it is often the opposite of volatility risk. A portfolio that is too safe has a very high shortfall risk and a very low standard deviation.
- Liquidity risk: can he fund three years of spending and any committed capital calls without selling equities in a bad market? This is the one that actually destroys private portfolios.
- Concentration and correlation at the household level, including the business and the property, because that is where the real single-point failure usually sits.
- Sequence risk for anyone drawing down. Two bad years at the start of retirement do far more damage than the same two years in the middle, and the fix is a cash and short-duration bucket rather than a lower average equity weight.
- The honest caveat about volatility: it is symmetrical and it assumes returns behave normally. Both assumptions fail exactly when the client needs the number, so I use it to build the portfolio and drawdown to explain it.
Where candidates lose it
Reciting standard deviation, beta, Sharpe and value at risk as though the client cares. Private clients experience risk as a rupee loss and as a goal they miss. Give the institutional measure, then translate it, or you sound like you have never sat in front of one.
Expect next
- What is sequence risk and how do you manage it?
- How would you explain value at risk to a client?
- Is a portfolio that never falls actually low risk?
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.
