Market Data - SME

Project overview

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 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.

Job Facts: Contract Independent | Contract W2 | Contract Corp To Corp | 12 Months | No Travel Required | Able to Sponsor | Remote | $70 - $80/hr

Skills: Accountability, Analytical Skill, Artificial Intelligence, Asset Management, Bloomberg, Business Analysis, Business Rules, Charles River, Cloud Computing, Communication, Control Flow Analysis, Data Governance, Data Management, Data Quality, Estimating, Extraction, FRM, Facilitation, Finance, Fixed Income, Fluency, ICE, Investment Banking, Leadership, Market Analysis, Mentorship, OTC Derivatives, Portfolio Management, Pricing, Private Equity, Python, Reference Data, Research, Root Cause Analysis, SQL, SimCorp, Stakeholder Engagement, Workflow

Reference: Dice Id: 91109480 | Position Id: 9126554

Project details

• Start: flexible
• Duration: 12 Months
• Remote: remote
• Location: US