Fund Launch Advisory
Pro forma modeling, fee structure, and operational recommendations for a GCC-region alternative asset fund.
| Engagement type | Pre-launch advisory — financial modeling, fee structure, staffing, and capital requirements |
| Fund type | Bespoke alternative asset / crypto-adjacent fund, GCC-region domicile |
| Deliverable | Revised pro forma with scenario modeling across local currency and USD; written recommendations |
Engagement overview
This engagement involved reviewing a founding team’s initial fund structure and financial projections ahead of launch, identifying material structural weaknesses, and delivering a revised set of recommendations across five areas: staffing, hardware technology acquisitions, minimum capital requirements, fee structure and hurdle rate, and fund growth rate modeling. The original structure was significantly overstaffed, called for technology infrastructure well beyond what a pre-launch fund requires, underpriced its services for a bespoke offering, and projected growth rates that were not achievable in a realistic client acquisition scenario, leaving the fund revenue-negative in Year 1 under most realistic assumptions. The revised structure addressed all five simultaneously.
Summary of recommendations
1. Staffing
The recommendation is to significantly cut staffing from the fund as structured. The original plan calls for 50 employees. The revised plan cuts significantly across the board, reducing to only the 11 minimum required roles:
| CEO | CIO | CFO | Head of HR |
| Head of Risk | Head of Compliance | BD/Marketing | Head of Quant Research |
| MLRO | Quant Engineer | Corp Sec./Legal | Trader (×2) |
The rest of the staffing changes are cuts, especially in Years 1–2, and projected for Year 3. It’s possible additional traders may be needed and added, but now growth scales with client level and the traders’ main role is to ensure the trading strategy designed by the Quant and implemented by the Quant Engineer executes properly. Similarly, depending on fund growth and client exit volume, it may be beneficial to bring on an accountant earlier than targeted. Many of these positions can also be operated by one person in the early phases (the compliance officer can likely double as the MLRO, etc.) which would reduce expenses even further. Overall, these changes resulted in savings of roughly 66% on staffing expenses, as well as reduced office space and furniture requirements.
2. Hardware Technology Acquisitions
The original technology acquisition plan is significant overkill; calling for a desktop, laptop, second monitor, iPhone, and a digital VOIP phone for every employee hired, with technical specs maxed out across the board in ways that significantly increase cost without meaningfully increasing utility. In the quant and engineer roles, additional RAM would be the most valuable spec increase, but the original plan had all systems with maxed-out HDD and default RAM while also putting everyone on a large cloud storage plan.
The revised plan adjusts the hardware buy to only units that are meaningfully required for each role:
- VOIP phones: Relationship Managers and four additional floating desks only
- Laptops: basic MacBook Air for all employees except Head of Quant Research and Quant Engineer, who get the MBP M4 Max with maxed-out RAM
- Desktops: Relationship Manager desks and floating desks only — entry-level Mac Minis rather than maxed-out iMacs
- Monitors: 27” BenQ 4K monitors across the board rather than high-density Apple displays, at significantly lower per-unit cost, and reduced from 50 units to 18
The revised technology acquisition plan reduces technology spend by roughly 75%.
3. Minimum Capital Requirements
As a bespoke fund, the original minimum capital requirement is too low. At the proposed level it doesn’t even begin to interest the parties the fund is targeting. Most bespoke funds of this nature have minimum capital requirements between $1M–$10M, with the ideal likely in the $5–10M range. The revised minimum was raised substantially, for the purposes of this exercise near the lower bound of that range and should be considered a floor, not a target.
A personal, anecdotal, note on this regarding a client I’ve worked with for more than a decade across several industries; he’s an oil CEO who also runs an energy fund. At one point when I sold BMWs, I called to let him know about the new BMW 7-Series, he replied: “I only drive Bentley. Uh, maybe I’ll send one of my kids over to take a look.” That’s the target client. We don’t want to price the fund at BMW level where it doesn’t even interest them. If we’re providing Bentley returns and Bentley service, it needs to come at a Bentley price.
4. Fee Structure and Hurdle Rate
The original structure set a high hurdle rate as a safety net for investors. The recommendation is to remove it entirely. For most bespoke funds, even in crypto, a hurdle rate is not standard. Beyond the structural issue, a very high hurdle rate creates a “too good to be true” feeling that will likely turn off prospective clients. Removing it puts the fund in alignment with other bespoke crypto funds; still advertising above-market returns, but without a structure that raises questions about veracity.
The performance fee stays at 25%. While at the upper end of performance fees, the management fee is held significantly below market, which allows the performance fee to remain higher while making the overall structure more competitive. The practical effect of removing the hurdle rate is illustrated below using a 50% projected return scenario:
| Original Structure | Revised Structure | Change | |
|---|---|---|---|
| Hurdle Rate | 30% | 0% (removed) | — |
| Projected Return | 50% | 50% | — |
| Performance Fee % | 25% | 25% | — |
| Performance Fee (per unit of capital) | 5% of invested | 12.5% of invested | +938% |
At the more realistic 20% projected return scenario, the original structure generates zero performance fee revenue (return falls short of the hurdle rate). The revised structure generates meaningful performance fee revenue at the same return level.
5. Fund Growth Rate
The original projected structure includes very aggressive growth assumptions. For a fund of this size, those kind of returns are highly unlikely as the fund will begin to cannibalize itself as it becomes a market mover rather than a market participant, losing the ability to take advantage of market inefficiencies that smaller funds can exploit. Growth rates around 20–25% are more realistic. The revised model uses 20% as the minimum projected rate throughout.
The effect on AUM projections:
| Original Structure | Revised Structure | |
|---|---|---|
| Growth Rate | ~54% (Years 1–3 average) | 20% |
| Year 1 AUM | [lower] | [higher — revised fee structure closes the gap] |
| Year 2 AUM | [higher — unrealistic] | [lower — achievable] |
| Year 3 AUM | [higher — unrealistic] | [lower — achievable] |
| Number of Clients | 100 | 100 |
The revised Year 1 AUM is actually higher than the original despite the lower growth rate, a direct result of the revised minimum capital requirement and fee structure. The original model’s later-year projections were not achievable in a realistic client acquisition scenario for a new fund without a track record.
Pro forma structure
The pro forma was built across the following modeling tabs, with both local currency and USD versions for each:
- Simplified Monthly Returns — per-client contribution to management and performance fee revenue by growth scenario
- Pro Forma Income Statement — quarterly and annual P&L across a 3-year horizon
- 3-Year P&L — full projection with staffing, technology, and operational expense build
- Operations Analysis — expense decomposition by category
- Year-over-Year Analysis — cumulative AUM, revenue, and margin by year
- Side-by-side comparison — original vs. revised fund structure across all five recommendation areas
The dual-currency structure reflected the fund’s GCC domicile and USD founder base, with local currency as the primary reporting currency and USD as the secondary.
Key finding
Combining each of the changes above makes the fund more realistic, profitable, and stable, while also appealing to the target audience more effectively. The original model’s high hurdle rate made performance fee revenue theoretically unavailable at realistic return levels, while the original minimum capital threshold and staffing plan made management fee revenue insufficient to cover operating costs. The five recommendations work together to improve the picture; adjusting all five creates a fund that can operate profitably with growth for both the fund and its clients.