Market Data Specialist

Role: Market Data Principal Consultant Location: New York, NY (Hybrid 3 days /week in office) Duration: 6 months (Contract to Hire) Job Description: We are seeking an experienced and technically proficient Market Data Analyst to support the buildout of a strategic Market Data Hub. This role requires translating complex business requirements into functional specifications and collaborating closely with engineering teams to deliver scalable data solutions. The ideal candidate will have strong market data domain knowledge and hands-on technical skills—particularly in Python and Snowflake—to support data analysis, validation, and integration efforts. Responsibilities: • Gather, analyze, and document market data requirements from business stakeholders across trading, risk, operations, and compliance. • Translate business needs into clear, detailed functional and technical specifications for engineering teams. • Analyze data from vendor feeds (e.g., Bloomberg, Refinitiv, ICE, SIX, S&P, exchanges) to define ingestion logic and transformation rules. • Collaborate with data engineers and architects to support design and build of market data ingestion and distribution workflows. • Support onboarding of new data domains, including pricing, reference data, corporate actions, and real-time/intraday feeds. • Define and validate business rules for data cleansing, deduplication, and normalization. • Maintain data dictionaries, business glossaries, and lineage documentation. • Participate in and support UAT, working closely with QA and business users. Requirement: • Experience as a Market Data Analyst or Business Analyst in financial services. • Strong understanding of financial instruments: equities, fixed income, FX, derivatives. • Deep knowledge of market data vendors and feeds: Bloomberg (BDP, BVAL), Refinitiv, ICE, SIX, exchange feeds, etc. • Demonstrated experience producing high-quality functional specifications and data mapping documents. • Proven ability to bridge the gap between business requirements and technical implementation. • Python – for data analysis, transformation scripting, and validation logic. • Snowflake – writing complex SQL queries, working with structured/semi-structured data, and supporting data workflows. • SQL – advanced querying for data exploration and profiling. • Familiarity with data formats and protocols: CSV, XML, JSON, FIX, FpML. • Experience with API-based data access (e.g., Bloomberg API, Refinitiv Data Platform APIs). • Use of collaboration tools such as JIRA, Confluence, and version control systems like Git. • Experience with cloud platforms (AWS, Azure, or GCP) and working knowledge of cloud-native data services is a plus. • Understanding of data quality, lineage, and governance tools is beneficial (e.g., Collibra, Alation) Preferred Qualifications: • Experience building or supporting a Market Data Hub, golden source, or enterprise reference data platform. • Prior involvement in large-scale data architecture or data product initiatives. • Bachelor’s or Master’s degree in Finance, Economics, Computer Science, Information Systems, or a related field.