Operations Associate (Deployment)
Hanover Park provides AI-native fund administration, portfolio intelligence, KPI collection, and LP operations for private-market investment firms.
About Hanover Park
Hanover Park combines AI-native software with expert-reviewed fund administration. Its platform unifies fund accounting, portfolio intelligence, KPI collection, LP experience, and operational AI agents, and reports more than $20 billion in assets under administration.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Own migration and implementation for complex investment firms, moving them from legacy systems onto Hanover Park's system of record. Manage client migrations end-to-end, build operational playbooks, collaborate with fund accountants and engineers, execute quality control across historical financial reporting, troubleshoot issues, and turn process improvements into product features.
Requirements
- Exceptional organizational and project management skills
- Strong written and verbal communication skills
- Bias toward action
- 1–7 years in fund accounting, fund administration, or investment operations, ideally supporting private equity, venture capital, private credit, or other alternative investment vehicles
- Deep understanding of fund structures, capital calls and distributions, NAV calculations, and financial reporting across periods
- Prior experience in PE/VC operations or fund administration
- CPA preferred but not required
- Exposure to client onboarding or data migration workflows
Responsibilities
- Own client migration and implementation end-to-end from signed contract through successful launch
- Build and continuously improve core operational processes and playbooks
- Collaborate with fund accountants and engineers to ensure operational precision and service delivery
- Execute detailed quality control and reconciliation across historical customer financial reporting periods
- Troubleshoot issues, identify patterns, and provide data-driven recommendations for operational improvements
- Surface process improvements proactively and work with engineering to build them into the product
