Market Data Subject Matter Expert (SME)

External job listingat Leadership Tilt

ROLE OVERVIEW We are seeking a Market Data Subject Matter Expert with deep knowledge of financial datasets, investment workflows, and enterprise data management

External source - not verified4 days agoOpen until: Dec 1, 2026

Salary

Not provided

Location

New York, United States

Employment type

Full time

Workplace

Not provided

Market Data Subject Matter Expert (SME)

New York, United States

Job description

ROLE OVERVIEW
We are seeking a Market Data Subject Matter Expert with deep knowledge of financial datasets, investment workflows, and enterprise data management.
You will work with clients and multidisciplinary delivery teams to translate complex business needs into clear data requirements, practical workflows, and effective quality controls. The role combines hands-on domain expertise with strong analytical skills, stakeholder engagement, and the ability to guide technology teams on the interpretation and use of market and reference data.
The ideal candidate understands how financial data supports investment decisions and operations, can resolve complex data issues, and brings sound judgment to data transformation and automation initiatives.
RESPONSIBILITIES
Domain Leadership & Client PartnershipServe as a trusted market data expert; lead discovery discussions and translate business challenges into clear requirements.Market & Reference Data ExpertiseGuide teams on financial instruments, data definitions, and market conventions to ensure solutions reflect real-world investment workflows.Data Quality & GovernanceDefine validation and reconciliation controls; resolve complex data issues and ensure traceability, accountability, and appropriate data usage.Solution & Automation EnablementPartner with technology teams to shape practical solutions and define domain validation and human oversight for automated workflows.Delivery & Knowledge LeadershipMaintain 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.

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