Business Analyst - Capital Markets

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.

OTC lifecycle, CSA and collateral management, margin and exposure analytics, EPE / what-if applications, the Collateral Margin & Exposure Analytics product.

SFT and repo, financing, the sub-ledger as authoritative record feeding SAP journals, P&L, IFRS and Basel treatment, the Finance domain.

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.