Business Analyst – Private Equity Valuations & Financial Data Platforms
Core Skill: Business Analysis
Essential
Skills:
· 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.
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.
Key
Responsibilities
· 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, PitchBook 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.