Market Data Principal Consultant

• 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.

What you’ll bring with You:

• 5+ years of 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