Job DescriptionCore 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.
RequirementsCore 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.