Market Data Subject Matter Expert (SME)

Leadership Tilt; New York (NY); On-site; USD 140,000 - 190,000; Full time

Job summary

Leadership Tilt is 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 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

Qualifications

• 10+ years in market data, reference data, or investment-data operations in asset management or related fields.
• Strong knowledge of financial instruments and investment workflows, incl. fixed income and credit.
• Fluency with market-data vendors (Bloomberg, LSEG, ICE, S&P Global, Moody’s, Fitch, MSCI).
• Expertise in pricing, terms, identifiers, classifications, and corporate actions.
• Hands-on SQL for data investigation; strong spreadsheet skills.
• Bachelor’s degree or equivalent experience.

Responsibilities

• Lead discovery discussions and translate business challenges into clear data requirements.
• Guide teams on data definitions and market conventions to reflect investment workflows.
• Define validation, reconciliation controls, and data lineage.
• Partner with technology to shape practical solutions and domain validation for automation.
• Mentor analysts and delivery teams to uphold data quality standards.

Skills

Market data

SQL

Stakeholder engagement

Data governance

Business analysis

Investment workflows

Vendor data

Education

Bachelor’s degree or equivalent

Tools

Bloomberg

LSEG

ICE

S&P Global

Moody’s

Fitch

MSCI

Job description

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

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.