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.
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📌 Business Analyst – Private Equity Valuations & Financial Data Platforms Ontario
🏢 Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
📍 Ontario