If you thrive at the intersection of institutional-grade reporting and forward-looking modeling , this role is for you. You will own Allocator One’s performance engine end-to-end: from building LP/auditor-ready packs (ILPA, GIPS, IPEV) to designing scenario models for our funds and managed accounts. You’ll partner with fund finance and the founding team to produce both regulator-ready reports and decision-support models that shape capital allocation and fund strategy. 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. Tasks 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. Requirements 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. Benefits 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 Exceptional candidates with both institutional reporting and forward-modeling experience may exceed these bands. Performance-linked bonus is offered on top of base.Culture and how we work 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 Intro call (experience/methodology). Case study: Deliver an ILPA pack from messy cashflows (with/without facility), and a forward-looking scenario model (base/upside/downside). Interview with founding partners. Final decision.
If you thrive at the intersection of institutional-grade reporting and forward-looking modeling , this role is for you. You will own Allocator One’s performance engine end-to-end: from building LP/auditor-ready packs (ILPA, GIPS, IPEV) to designing scenario models for our funds and managed accounts. You’ll partner with fund finance and the founding team to produce both regulator-ready reports and decision-support models that shape capital allocation and fund strategy. 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. Tasks 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. Requirements 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. Benefits 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 Exceptional candidates with both institutional reporting and forward-modeling experience may exceed these bands. Performance-linked bonus is offered on top of base.Culture and how we work 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 Intro call (experience/methodology). Case study: Deliver an ILPA pack from messy cashflows (with/without facility), and a forward-looking scenario model (base/upside/downside). Interview with founding partners. Final decision.
If you are a quant-minded finance professional who thrives on building robust models, clean data pipelines, and institutional-grade performance reporting, this role is for you. As Quantitative Research & Performance Analytics Engineer, you will own Allocator One’s private markets performance modelling—designing the engines behind DPI, IRR, PME, and carry/waterfall analytics. You will partner closely with our Vienna and London teams to automate fund performance reporting and elevate decision quality. Note: This is a fully remote position based in India; you will work directly with our global teams. 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 1000+ 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 entities in the US, UK, Austria, Germany, India and (soon) Singapore (Allocator One Management GmbH) enable institutional-grade governance and reporting. Our founding partners: Felix Staeritz – Founder of FoundersLane (corporate venture builder), active VC/PE investor; board/advisory roles including the World Economic Forum (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. Tasks 1. Performance modelling & reporting Own the cash-flow based performance stack: DPI, TVPI, IRR, PME (KS/LN/Direct Alpha), MoM, with and without subscription facilities. Build reproducible Python/SQL pipelines that produce ILPA-compliant performance templates and GIPS composites. Implement quarterly fund valuations aligned with IPEV; design carried-interest and fee waterfall models. 2. Scenario analysis & benchmarking Run forward-looking simulations for pacing, exit timing, and financing line impacts on performance. Develop peer benchmarking and attribution tools to compare portfolio returns vs public and private indices. 3. Data pipelines & automation Maintain canonical cash-flow ledgers (contributions, distributions, fees, NAVs). Partner with engineering to automate ingestion, reconciliation, and reporting pipelines; reduce time-to-insight. Build transparent audit trails that stand up to institutional LPs and regulators. 4. Collaboration within Allocator One Work directly with fund finance, investor relations, and the founding team to align modelling with investor needs. Translate technical results into actionable insights for boards, founders, and LPs. Requirements Degree in finance, mathematics, statistics, computer science, or related field. 3–6 years’ experience in quantitative research, fund analytics, or valuation in private markets. Strong technical toolkit: Python (pandas/numpy), SQL, advanced Excel; reproducible coding practices. Mastery of IRR quirks (non-periodic flows, negative IRRs) and PME variants. Familiarity with ILPA templates, GIPS standards, and IPEV valuation guidelines. Excellent written communication; ability to explain quant insights clearly. Benefits Culture and how we work: Co-builder mindset: We operate as a partner to emerging managers and to each other—hands-on, pragmatic, outcome-driven (“Y Combinator for capital allocators”). High standards, low ego: Direct feedback, clear ownership, and high agency. Automate by default: We build internal tooling and automate processes with our proprietary Allocator One software. Learning loop: Structured onboarding, regular feedback, and access to experienced colleagues. Remote-first: Fully remote from India, with deep integration into our Vienna and London teams. Benefits: Competitive base salary with performance bonus Low-ego culture with high ownership and autonomy Flexible, trust-based working hours; remote by default Structured onboarding, dedicated points of contact, and tailored learning opportunities Top-tier IT equipment provided 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 Exceptional candidates with strong quant/hedge fund backgrounds may command higher base packages, reflecting the upper quartile of the market. In addition to base, we offer a performance-linked bonus . Application process Initial conversation (video): experience/fit and role expectations Technical interview with take-home modelling case (cashflow, PME, ILPA template) Interview with founding partners Final decision
If you are a quant-minded finance professional who thrives on building robust models, clean data pipelines, and institutional-grade performance reporting, this role is for you. As Quantitative Research & Performance Analytics Engineer, you will own Allocator One’s private markets performance modelling—designing the engines behind DPI, IRR, PME, and carry/waterfall analytics. You will partner closely with our Vienna and London teams to automate fund performance reporting and elevate decision quality. Note: This is a fully remote position based in India; you will work directly with our global teams. 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 1000+ 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 entities in the US, UK, Austria, Germany, India and (soon) Singapore (Allocator One Management GmbH) enable institutional-grade governance and reporting. Our founding partners: Felix Staeritz – Founder of FoundersLane (corporate venture builder), active VC/PE investor; board/advisory roles including the World Economic Forum (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. Tasks 1. Performance modelling & reporting Own the cash-flow based performance stack: DPI, TVPI, IRR, PME (KS/LN/Direct Alpha), MoM, with and without subscription facilities. Build reproducible Python/SQL pipelines that produce ILPA-compliant performance templates and GIPS composites. Implement quarterly fund valuations aligned with IPEV; design carried-interest and fee waterfall models. 2. Scenario analysis & benchmarking Run forward-looking simulations for pacing, exit timing, and financing line impacts on performance. Develop peer benchmarking and attribution tools to compare portfolio returns vs public and private indices. 3. Data pipelines & automation Maintain canonical cash-flow ledgers (contributions, distributions, fees, NAVs). Partner with engineering to automate ingestion, reconciliation, and reporting pipelines; reduce time-to-insight. Build transparent audit trails that stand up to institutional LPs and regulators. 4. Collaboration within Allocator One Work directly with fund finance, investor relations, and the founding team to align modelling with investor needs. Translate technical results into actionable insights for boards, founders, and LPs. Requirements Degree in finance, mathematics, statistics, computer science, or related field. 3–6 years’ experience in quantitative research, fund analytics, or valuation in private markets. Strong technical toolkit: Python (pandas/numpy), SQL, advanced Excel; reproducible coding practices. Mastery of IRR quirks (non-periodic flows, negative IRRs) and PME variants. Familiarity with ILPA templates, GIPS standards, and IPEV valuation guidelines. Excellent written communication; ability to explain quant insights clearly. Benefits Culture and how we work: Co-builder mindset: We operate as a partner to emerging managers and to each other—hands-on, pragmatic, outcome-driven (“Y Combinator for capital allocators”). High standards, low ego: Direct feedback, clear ownership, and high agency. Automate by default: We build internal tooling and automate processes with our proprietary Allocator One software. Learning loop: Structured onboarding, regular feedback, and access to experienced colleagues. Remote-first: Fully remote from India, with deep integration into our Vienna and London teams. Benefits: Competitive base salary with performance bonus Low-ego culture with high ownership and autonomy Flexible, trust-based working hours; remote by default Structured onboarding, dedicated points of contact, and tailored learning opportunities Top-tier IT equipment provided 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 Exceptional candidates with strong quant/hedge fund backgrounds may command higher base packages, reflecting the upper quartile of the market. In addition to base, we offer a performance-linked bonus . Application process Initial conversation (video): experience/fit and role expectations Technical interview with take-home modelling case (cashflow, PME, ILPA template) Interview with founding partners Final decision