Interview process for equity PMs at MMs

As the title suggests, curious if anyone has insight into the general interview / due diligence process that the larger multi managers (Citadel, MLP, BAM, P72, etc) go through when hiring a new PM, after the initial call or two with BD.

 

Based on the most helpful WSO content, here's what you need to know about the interview process for equity PMs at larger multi-managers (MMs) like Citadel, MLP, BAM, and P72:

  1. Interview Structure:

    • Initial Calls: Typically start with a couple of calls with Business Development (BD) teams.
    • Behavioral Interviews: Some firms prefer more behavioral-oriented phone interviews initially.
    • Technical Interviews: Others may start with quick technical questions in the first few interviews, covering topics like LBO theory and Paper LBOs.
  2. In-Person Interviews:

    • Technical Focus: In-person interviews often include quick case studies and in-person modeling tests.
    • Behavioral Focus: Some firms may combine behavioral questions with a take-home case study.
  3. Deal Discussions:

    • Be prepared to discuss your deals in detail, including:
      • Valuation
      • Competitive strengths
      • Broader industry outlook
      • Transaction structure
      • Risk assessment
    • You should be able to expand upon your responsibilities and how they shaped your thoughts on the overall deal/outcome.
  4. Asking Good Questions:

    • It's crucial to ask insightful questions during the interview. Some suggested topics include:
      • Overall fund strategy and recent performance
      • Specific investments
      • Broader PE industry outlook
      • Background and rationale for making the move to PE (especially for associates)
  5. Networking and Hustle:

    • The process centers on networking and demonstrating your commitment and capability.
    • Candidates often talk to dozens of firms, have multiple conversations and visits, and stay updated on PE news, deals, and language.
  6. Case Studies:

    • Case studies are a significant part of the recruiting process, focusing on how you think as an investor.
    • Typical questions might include evaluating whether a company is a good or bad investment, discussing industry context, company performance, and additional diligence steps.

By understanding these elements, you can better prepare for the interview process at larger multi-managers.

Sources: A Non-Target's Perspective - My MM PE Recruiting Process, A Non-Target's Perspective - My MM PE Recruiting Process, Private Equity Recruiting Process (From Banking), My Private Equity Recruiting Process, Q&A - Starting Post-MBA Megafund PE

I'm an AI bot trained on the most helpful WSO content across 17+ years.
 
Most Helpful

From my experience it's largely been focused on:

  • Decomposition of your track record - Send over your monthlies. Idio, crowding, risk, & performance breakdown. Discussion on GMV and how that scaled. Earnings day P&L, earnings +/- 5 days, ex-earnings P&L breakdown. Breakdowns by hit rate, sizing vs. selection P&L, and more, e.g. Brinson attribution.
  • Strategy deep dive - Approach to coverage, processes, resources needed, differentiation. What is a typical long and short? What is your ideation process? Repeatable? How expressing views under risk framework? Does the process allow you to scale and improve over time?
  • Risk management approach (arguably the most important part) - Ties in with your track discussion. How solve for idio, how manage gross, sizing, duration. How was sharpe. Approach to Vol/VaR management. What rules do you employ? How do you scale in and out of names? How practically trade names? How size over catalysts/earnings? How/when take profit and how/when do cut? Process for mitigating thesis decay?
  • Portfolio Construction - Number of positions and sizing methodology, beta, idio risk. Typical portfolio exposures and characteristics. Position limits and liquidity considerations? Market and factor hedging approach over time (rebal daily? weekly? monthly? Why?). How does the book change during vol clustering or emerging factors? How do you adapt to various market regimes? Trade off between hedge and alpha views? How do you play offense or defence?
  • Talk some through some ideas - Biggest winners and losers + root-causes. Past unintended winners and losers. Why? How adapted post mortem?
  • Personality / Fit assessment - Can we work with this person? Is he/she receptive? Can this PM work under our framework? Is this a star individual which we need to build around or an emerging player that will grow under us? Is the PM a team player? Ability to build a team? Can the person incentivize and retain talent? Can the person run risk at scale and make us $$$ to cover the cost of his seat?

The industry is small and churn is high so 1 degree of separation likely. As such they'll speak with industry people about you. E.g. former people you worked with (e.g. alumni who overlapped), ER peepz, PB folks, BDs at other places, common contacts, other PMs etc.

 

It's just a numeric decomposition so the platform gets a sense of what type of idiosyncratic alpha volatility is to be expected when you run risk based on how you've managed your book in the past. Some take intentional style risk and some don't. E.g. long quality vs short value. You'll see it a time series breakdown when you have PNL exposure.

The latter is just how you hedged your bets to express your views, how you sized your position (do you go all out or build over time, do you have full positions over earnings or take risk off and reload over figures). Duration is self-explanatory (avg holding of your longs and shorts). Basically another way of asking about how many times you turn over your portfolio. 

PM Meeting:

KeyboardMaster2 PM "Uhm.. yeah I've run KeyboardMaster2 fund for 3 years and during that time I've had a hit rate of 53% and slugging around 1.7x with 40 names on avg in the book. So my average position size is 2.5%. My winners make 10% and my losers -6%. So yeah... my winners make 5.3% and my losers lose around 2.8% (1-53% * avg loss). Therefore I've felt like a sensible stop loss for me to review each losing position is around 0.15% on allocated per position (avg size * avg loss). This should help me catch losers before I hit a drawdown trigger."

Platform Risk Guy: "What's your portfolio turnover like?

KeyboardMaster2 PM: "I generate 4 new ideas per week, so I turnover my book around 6 times per year. So with that in mind you can make around 16% on GMV (avg size x net return x turnover)

All BS numbers obviously....

 

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