Description

Key Responsibilities:

Private Equity Domain & Process Analysis:

·  Lead end-to-end requirement discovery for the private equity fund lifecycle, covering fund formation, LP/GP onboarding, deal execution, capital calls, distributions, and portfolio company tracking.

·  Map complex Private Equity accounting structures, including trial balances, capital account statements (PCAP), carried interest, internal rate of return (IRR), TVPI, DPI, and waterfall modeling logic.

·  Analyze FIS Investran extract schemas, entity models (Investor, Commitment, Investment, Vendor, Affiliate), and map them into standardized Sage Intacct upload templates at both the Fund level and LP level.

·  Define data rules for automated LP allocation logic, offset entries, fund-level and LP-level reconciliations, and variance analysis workflows.

·  Collaborate with accounting SMEs to establish a Gen II-specific Fund Administration Ontology for standardizing financial data models across multi-client onboarding pipelines.

AI-Accelerated Business Analysis & Engineering Integration:

·  Actively employ enterprise AI tools—including ChatGPT, Microsoft Copilot, and Claude Code/Desktop—to accelerate business discovery, document current-state and future-state process maps, refine complex requirements, and create meeting summaries.

·  Leverage LLM-assisted tools to build schema context builders, prompt specifications, and mapping recommendation engines (evaluating confidence scores and reasoning models).

·  Author structured Epics, Features, User Stories, and Acceptance Criteria in Jira, leveraging AI tools to accelerate user story generation, scenario testing, and test case mapping.

·  Partner with AI Architects and Engineering Leads to define system interface contracts, REST API requirements, and data transformation rules using Python/Pandas logic and JSON/SQLite mappings.

Client Engagement & Stakeholder Management:

·  Facilitate deep-dive workshops, requirements sign-off sessions, and daily standups with executive stakeholders, Fund Administration Leads, CISO teams, and external consulting partners.

·  Translate complex business needs into intuitive UI/UX wireframe requirements for web platforms (React JS / FastAPI context) supporting human-in-the-loop review and approval workflows.

·  Drive Business Acceptance Testing (UAT), defect triage, and variance sign-offs during onboarding releases.

Required Qualifications & Competencies

Domain Expertise & Functional Experience:

·  10+ years of total experience as a Business Analyst, Systems Analyst, or Solution Architect within Capital Markets, Wealth Management, or Alternative Investments.

·  5+ years of direct experience in Private Equity (PE) Fund Administration and Fund Accounting operating models.

·  Deep understanding of the LP/GP Investment Lifecycle, including fund formation, capital calls, distribution processing, deal execution, waterfall modeling, and investor reporting standards.

·  Hands-on familiarity with core General Ledger (GL) systems and software, specifically FIS Investran and/or Sage Intacct.

AI Tool Proficiency & Technical Capabilities:

·  Heavy leverage of GenAI Productivity Tools: Demonstrated hands-on usage of tools like ChatGPT, MS Copilot, and Claude to generate process documentation, write user stories, execute gap analyses, and formulate business logic.

·  Knowledge of Fund Administration Data Models & Ontologies, with experience defining data mapping specifications, line-item data transformations, and data lineage.

·  Proficiency in querying and analyzing structured financial data using SQL, Excel, and BI tools (e.g., Power BI, Tableau) for data validation and reconciliation.

·  Demonstrated capability working within Agile / Scrum frameworks (ADO, Confluence) within dedicated technology POD delivery structures.

Communication & Client-Facing Leadership:

·  Exceptional client-facing communication, executive presentation, and workshop facilitation skills.

·  Ability to break down complex multi-tier fund structures and technical AI mapping architectures into clear, actionable executive updates.

·  Strong collaborative mindset to work seamlessly across cross-functional teams comprising quantitative analysts, accounting SMEs, cloud engineers, and executive steering committees

Key Skills

Education

Bachelor's degree