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Associate, Data Operations

Iconiq Group
New York, New York, United States Full Time USD 130,000 - 150,000 p.a. Sep 17, 2026

About the Job

This individual is a critical member of the Data Operations team and will act as a strategic partner to investment teams, client service professionals, risk & compliance, and fund administrators as well as partner with technology teams to build APIs and automation tools that streamline data ingestion and transformat...

Champion data quality standards and drive adoption of best practices across teams for data integrity, consistency, accuracy, and security across the organization.

Ensure scalable and resilient data infrastructure to support reporting, analytics, and regulatory requirements.

Key Responsibilities

Lead efforts to centralize and automate the aggregation of data from fund administrators, custodians, and other third-party sources.
Support the development of client reporting, investment dashboards, and operational analytics with accurate and timely data.
Review Portfolio Management System for accuracy and completeness with respect to valuations, commitments, capital calls, distributions, etc. Resolve any reconciliation discrepancies in a timely manner.
Review capital calls and distributions across our various vehicles. Ensure accurate and timely notification, reconciliation of incoming funds, and delivery of funds to the relevant third party/parties.

 

Required Skills & Abilities

6+ years of Accounting or Operations experience within Hedge Fund, Private Equity/Venture Capital firm or Fund Administrator.
Required experience with Addepar or other Portfolio Management Accounting System.
Familiarity with AI tools and technologies is a plus. We value team members who are curious about leveraging AI to enhance productivity, streamline workflows, and drive innovation.
Solid understanding of private fund subscription and redemption processes.
Knowledge of Net Asset Value, Unfunded Commitments, IRR and TWR calculations.
Strong Excel knowledge (construction of pivot tables, and use of VLOOKUPs, SUMIFs and similar formulas).
Experience using SQL, Snowflake or an equivalent data warehouse.

 

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