SME 1 — Trading & Front Office
Cash products, fixed income and ETD. Trade and position lifecycle, front-office UIs and their data dependencies, the Trading domain and the operational-application boundary.
SME 2 — OTC Derivatives, Collateral & Margin
OTC lifecycle, CSA and collateral management, margin and exposure analytics, EPE / what-if applications, the Collateral Margin & Exposure Analytics product.
SME 3 — Securities Financing, Sub-Ledger & Finance
SFT and repo, financing, the sub-ledger as authoritative record feeding SAP journals, P&L, IFRS and Basel treatment, the Finance domain.
SME 4 — Risk, Regulatory & Reference/Market Data
Credit, market, liquidity and operational risk; MiFID II, Dodd-Frank and JFSA reporting; curve, instrument master and pricing feeds; Derivatives Operations (Reg Ops) and the Regulatory & Compliance domain.
Key Responsibilities
- Validate the catalogue item by item against business reality; resolve gaps, duplicates and misclassifications in the inventory’s starting-hypothesis domain tags.
- Classify each item by type and authority: domain-owned data product, shared capability, or operational application outside the analytical mesh.
- Corroborate or dispute the dependency and lineage findings using knowledge of how the business moves the data.
- Establish domain semantics and boundary definitions for the assigned product area, in language the business owners will sign.
- Apply the ownership rules and drive contested-item resolution to a decision, escalating to DACI only where genuinely irreducible.
- Identify the consuming domains behind every extract feed and downstream application in the assigned area and specify the contract obligations that follow.
- Facilitate validation workshops with named business-domain and IT owners; document findings to a standard that survives review.
Essential Experience
- 10+ years in capital markets, of which at least 5 in a data-adjacent role: data ownership, business data analysis, regulatory reporting, or middle-office data management. Pure front-office trading experience without the data dimension will not work here.
- Deep product knowledge in at least one of the four coverage tracks above and working knowledge of a second.
- Ability to read a data dictionary, a lineage map and a stored-procedure findings matrix, and to dispute them on business grounds.
- Workshop facilitation with front-office, Reg Ops, Risk and Finance stakeholders in a large bank; the ability to get a decision out of a room that would rather defer.
Preferred / Differentiating
- Hands-on exposure to Murex, Loan IQ, ACBS, Axiom SL or comparable capital-markets and regulatory-reporting platforms.
- Prior participation in a data mesh or data-product domain decomposition.
- Understanding of critical data element definition and attestation for regulatory reporting.