Private markets performance & fund modeling lead

institutional-grade reporting

Note: Fully remote from India; tight collaboration with Vienna/London.About Allocator One

Allocator One operates a unique fund model designed to invest in the most promising first-time fund managers worldwide while optimizing fees. We serve as the anchor investor of choice for exceptional emerging managers, providing unrivalled access, expertise, and operational support. Within twelve months of launch, we received 600+ applications, reflecting our commitment to nurturing new talent. Beyond investing, we act as a co-builder, integrating managers into our Allocator One program—often described as the “Y Combinator for capital allocators”—with essential support in regulation, administration, and structuring. Our regulated AIFM entity in Austria under FMA oversight (Allocator One Management GmbH) enables institutional-grade governance and reporting.
Our founding partners:

• Felix Staeritz

  – Founder of FoundersLane, active VC/PE investor, advisor to WEF and Fraunhofer.



• Michael Ströck

  – Entrepreneur with multiple exits, Y Combinator alumnus, investor instrumental in establishing three VC funds; part of a third-generation family business.

1. Performance reporting (backward-looking)

• Deliver

  quarterly LP packs

  aligned to

  ILPA templates

  (fees, expenses, performance), including

  with/without facility

  views.


• Produce

  GIPS 2020 compliant

  presentations: composites, IRR (MWR) and TWR reporting, required disclosures, verification prep.


• Interface with valuation providers for

  IPEV-consistent NAVs

  ; ensure audit-ready trails from cashflows to board/LP reports.

2. Fund & account modeling (forward-looking)

• Build

  cashflow projection models

  for Allocator One’s funds and managed accounts: commitments, calls, distributions, J-curve dynamics.


• Run

  scenario analysis

  (base, upside, downside) on pacing, exits, financing lines, and fee structures.


• Develop

  sensitivity tools

  linking fund terms (carry, hurdles, subscription lines) to IRR, DPI, and multiple outcomes.


• Benchmark projections against historical PE/VC quartiles and public market equivalents (PME, Direct Alpha).


• Package outputs into decision-support memos for founders and boards.

3. Data & automation

• Own the

  canonical cashflow ledger

  (contributions, distributions, fees, NAVs).


• Automate data ingestion and reconciliation with engineering (eFront/Allvue).


• Ensure reproducibility: Python/SQL pipelines, version-controlled models, audit trails.

• Direct experience producing

  LP/board performance reports

  in private equity/venture/fund-of-funds contexts (fund admin, asset manager, or LP).


• Mastery of

  ILPA reporting

  ,

  GIPS composites

  , and

  IPEV valuation cycles

  .


• Strong modeling skills: cashflow forecasting, scenario analysis, J-curve design, PME variants.


• Technical toolkit:

  Python (pandas/numpy)

  ,

  SQL

  , advanced Excel; experience with

  eFront/Allvue

  a plus.


• Ability to communicate assumptions, methodologies, and limitations clearly to both technical and non-technical audiences.

Compensation
We benchmark competitively against VC/PE and quant hedge fund talent in India. For mid-level candidates (3–6 years experience), typical base salary ranges are:

• Bangalore / Delhi NCR:

  ₹20L – ₹40L



• Mumbai:

  ₹25L – ₹45L

institutional reporting

• Co-builder mindset:

  Partner mentality with emerging managers and with each other.



• High standards, low ego:

  Direct feedback, clear ownership.



• Automate by default:

  Proprietary internal tooling, data contracts.



• Learning loop:

  Structured onboarding, continuous feedback.



• Remote-first:

  Fully remote in India, deeply integrated with Vienna/London.

Application process

1. Intro call (experience/methodology).


2. Case study: Deliver an ILPA pack from messy cashflows (with/without facility), and a forward-looking scenario model (base/upside/downside).


3. Interview with founding partners.


4. Final decision.