Tao Digital Solutions - Senior Business Analyst - Reporting Validation Automation

Please note CFA/CIPM is a must and should have experience in investment banking.

Responsibilities:

The Senior Business Analyst will serve as the connective tissue between Oaktree's Finance, RR&A, Fund Accounting, and Technology teams and the engineering pod building the Reporting Validation Platform. The role is responsible for translating the firm's reporting controls, reconciliation logic, and review checklists into structured rule libraries and agentic AI workflows that can be implemented, tested, and certified.

Requirements Elicitation & Rule Design:

- Partner with RR&A, Financial Reporting, and Investor Relations teams to document existing manual reporting validation controls, tolerances, exception thresholds, and sign-off processes across credit, equity, and real estate strategies.

- Decompose narrative controls into deterministic rules (data quality, reconciliation, threshold, period-over-period, cross-report consistency) and codify them in a structured rule catalog.

- Identify the subset of validations best suited for agentic AI patterns (narrative review, footnote consistency, commentary generation, anomaly explanation) and define the prompts, tools, and evaluation criteria.

Analysis & Documentation:

- Produce business requirement documents (BRDs), functional specifications, data lineage maps, and acceptance criteria for each validation use case.

- Define KPIs for the platform (validation coverage, exception rate, false-positive rate, time saved, auditability) and partner with engineering on dashboards to track them.

Delivery & Stakeholder Management:

- Lead UAT cycles with business reviewers; capture exceptions, drive triage, and ensure rule changes are versioned and re-certified.

- Run change-management for the rollout of validated reports communications, training, and parallel-run governance.

- Act as the escalation point for ambiguous business logic and serve as a domain SME to engineers and ML practitioners.

Experience Required:

- 8+ years of business analysis experience at an asset management firm, investment bank, fund administrator, or Big-4 advisory practice serving alternatives.

- Deep familiarity with investor reporting, fund accounting outputs, performance reporting (TWR, IRR, MOIC, PME), and risk metrics.

- Hands-on experience writing SQL queries to validate and profile data; ability to read Python notebooks is a strong plus.

- Proven track record translating manual control checklists into automated rule frameworks.

- Strong working knowledge of Jira, Confluence, Visio/Lucidchart, and Power BI.

- Exposure to LLM-based workflows, prompt design, or agentic AI evaluation frameworks is a plus.

- Understanding of US GAAP, debt covenant calculations, and alternative investment structures.

Education:

- Bachelor's degree required; MBA, CFA, or CIPM a plus.