Hedge Fund Accounting And Operations

Overview

• Support financial reporting, fund accounting, and performance analytics functions within a collaborative and technology-driven environment.
• Prepare and review daily P&L and performance reporting across multiple investment strategies.
• Contribute to GAAP and IFRS-based year-end financial statements preparation for commingled funds.
• Coordinate with external administrators and auditors for fund accounting and audit processes.
• Analyze performance data for accuracy, consistency, and alignment across reporting outputs.
• Participate in automation initiatives and data-related projects to enhance operational efficiency.
• Develop and monitor revenue and expense projections to support budgeting and financial planning.
• Prepare tax support packages and coordinate with external tax advisors for compliance.

• Lead the NAV review process for commingled funds prepared by third-party administrators.
• Perform daily and monthly reconciliations, including cash, positions, and key account balances.
• Record and review general ledger activity, including journal entries and trial balance outputs.
• Produce internal and external reporting, including investor communications and due diligence materials.
• Coordinate with fund administrators on NAVs, fee calculations, and investor capital activity.
• Support audit and tax processes through preparation of documentation and responses to information requests.
• Participate in the preparation of federal and state tax filings for the management company.
• Contribute to the preparation and review of management company financial statements.

• Bachelor of Science (BS) degree in a relevant field.
• 0–3 years of experience in fund accounting, financial/product control, or public accounting.
• Advanced proficiency in Microsoft Excel; experience with VBA is a plus.
• Familiarity with financial markets, trading environments, and P&L reporting.
• Exposure to NAV-based fund accounting and general ledger activity.
• CPA or Chartered Accountant designation or progress toward certification preferred.
• Familiarity with Python, SQL, or data visualization tools like Power BI is advantageous.
• Strong analytical skills, including experience with large datasets and performance-related statistics.