Associate, Data Operations

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 transformation. The Data Operations team play a critical role in the firm’s data strategy in alignment with investment, client, and operational goals. 

• 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.

• 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.

• 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.

We expect candidates to be fluent in using AI tools to enhance their work. You’re welcome to use AI in preparing your application where it adds value, but your materials must be accurate and reflect your own experience, judgement and voice.

We care most about how you think, what you’ve personally contributed, and how you use tools like AI to drive better outcomes. Strong candidates demonstrate both authenticity and leverage, using AI to elevate their work while maintaining clear ownership.

Throughout the interview process, you should be prepared to speak in depth about your experience and contributions in your own words.

We recognize that our people are our greatest strength, and the diverse skills and perspectives they contribute are integral to our success as a global organization. As an equal opportunity employer, we are deeply committed to fostering diversity and inclusion across our company. We do not tolerate discrimination based on any protected characteristic, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy, disability, or any other characteristic protected by law. Additionally, we provide reasonable accommodations to support applicants and employees with religious practices, mental health needs, physical disabilities, or other conditions requiring support.