Business Analyst – Private Equity Valuations & Financial Data Platforms

Required Knowledge & Experience

• Deep domain knowledge of PE valuations trading comps, precedent transactions, EV bridges, multiple selection.
• Experience writing structured requirements and acceptance criteria for data-intensive financial tools.
• Familiarity with IFRS fair value measurement and audit-readiness requirements.
• Stakeholder management across deal teams, valuation groups, and engineering.
• Data modelling and schema design (JSON output structures, rolling records).
• UAT coordination and test case design for financial accuracy validation.

• Own the process mapping for the end-to-end multiple determination workflow inputs, transformations, outputs, and dependencies between stories.
• Liaise between the engineering team and the PE Valuations.
• Valuation Group stakeholders to resolve open design decisions (e.g., smoothing policy, Pitch Book feasibility, Athena timing gap).
• Define and refine acceptance criteria for each story in collaboration with the PE Valuations team, ensuring outputs match deal team model expectations.
• Design the human-in-the-loop review gates and what information is surfaced to analysts, how overrides are captured, and how analyst sign-off flows through the system.
• Manage the Data Schema, reference document field definitions, mandatory vs. optional classifications, source hierarchy rules, and controlled vocabularies (Sector, Subsector, Business Model, Geography).
• Coordinate with Crystal deal teams on the Deal Team structured data entry mechanism and unstructured input formats.
• Validate prototype outputs against real deal team models for accuracy and auditability.
• Define configurable parameters (tolerance thresholds, recency windows, EBITDA margin thresholds) and document their rationale.