Market Data - SME

Responsibilities

• Domain Leadership & Client Partnership
• Serve as a trusted market data expert; lead discovery discussions and translate business challenges into clear requirements.
• Market & Reference Data Expertise
• Guide teams on financial instruments, data definitions, and market conventions to ensure solutions reflect real-world investment workflows.
• Data Quality & Governance
• Define validation and reconciliation controls; resolve complex data issues and ensure traceability, accountability, and appropriate data usage.
• Solution & Automation Enablement
• Partner with technology teams to shape practical solutions and define domain validation and human oversight for automated workflows.
• Delivery & Knowledge Leadership
• Maintain the domain quality bar, support business validation, and mentor analysts and delivery teams.

Must-Have Experience

• 10+ years in market data, reference data, enterprise data management, or investment-data operations: significant experience within asset management, investment banking, custody, financial-data providers, or specialist consulting.
• Strong financial-instrument and investment-workflow knowledge: depth in fixed income and credit, with working familiarity across additional asset classes and an understanding of how data supports research, portfolio management, risk, and operations.
• Market-data vendor fluency: hands-on experience interpreting and working with datasets from providers such as Bloomberg, LSEG, ICE, S&P Global, Moody's, Fitch, or MSCI.
• Market and reference data expertise: pricing, instrument terms and conditions, issuer relationships, security identifiers, classifications, ratings, benchmarks, and corporate actions.
• Data-quality and control experience: validation, reconciliation, exception management, root-cause analysis, lineage, and auditability.
• Business analysis and solution-delivery experience: ability to turn ambiguous needs into precise requirements, business rules, and testable acceptance criteria.
• Hands-on analytical capability: SQL for data investigation, strong spreadsheet skills, and the ability to review data specifications and mappings with technical teams.
• Stakeholder engagement and communication: confidence facilitating workshops, explaining complex data issues, and guiding decisions across business and technology teams.
• Sound data-governance judgment: working awareness of ownership, permitted usage, entitlements, and escalation to the appropriate policy or contractual owners.
• Bachelor's degree in a relevant discipline, or equivalent professional experience.

Preferred Edge

• Experience implementing or operating enterprise data management, security-master, or investment-data platforms.
• Familiarity with major portfolio and risk platforms such as Aladdin, Charles River, SimCorp, or equivalent systems.
• Private-markets and complex-instrument exposure, including private credit, private equity, loans, or OTC derivatives.
• Experience with ESG, fundamentals, estimates, indices, benchmarks, or institutional investor data.
• Practical involvement in AI-assisted extraction, classification, matching, enrichment, or data-quality workflows.
• Familiarity with Python, cloud data platforms, APIs, and modern data-management tooling.
• CFA, FRM, or a relevant data-management qualification.