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Allocate
New York, United States
Source: Allocate careers · View original posting
From Allocate's posting. “We” and “our” refer to the employer.
Allocate transforms private market investing by enabling RIAs and family offices to discover, model, and manage their private market exposure. The platform provides curated fund and co-investment opportunities with institutional-grade infrastructure across venture capital, private equity, private credit, and other private asset classes.
The Opportunity
Private market data is messy. It arrives as unstructured documents from hundreds of managers and fund administrators in no consistent format, and it spans both the pre-investment picture — fund terms, manager and vehicle characteristics, track record — and post-investment reporting: capital account statements, capital calls, distributions, financial statements and tax documents.
This role owns data as a system across all of it, not a single dataset or a single product line: the fund and entity master, the checks that catch problems before clients do, the reconciliation that proves the numbers tie, and the analysis that explains where data is wrong and why. It is a broad remit
The work is equal parts investigation and design. You will spend as much time working out why something broke as you will building the thing that stops it breaking again.
Data as a system, across every product line.
A consistent, governed view of funds, entities and positions that holds up wherever it is consumed — operated vehicles, administered funds, and client-held positions alike.
Fund and entity data quality — the security master.
Fund and manager records, entity resolution and duplicates, fund properties and characteristics.
Data quality and completeness.
Design and run the checks that validate data before it reaches clients, and the exception workflows behind them.
Reconciliation.
Reconcile data across our systems and sources, and explain the differences clearly.
Root-cause analysis.
Trace a wrong number back to its source, size the problem, and specify the fix.
Extraction quality.
Expand the data we capture and evaluate how well our tooling captures it.
Documentation.
Definitions, assumptions and edge cases, written down and kept current.
Must Have Experience
Nice To Haves
Education
Compensation
$95,000–$135,000 base, plus potential discretionary bonus and equity.
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
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