
Business Analyst - Reference Data
at Millennium
Posted 12 days ago
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- Compensation
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Join the Securities Reference Data team as a Business Analyst with experience in institutional flow. You will collaborate with users and developers to gather and analyze requirements, review large data sets, and translate business needs into functional specifications. You will design and execute data quality checks, proactively manage data quality issues, and define data models, integration, and workflow requirements. The role requires strong analytical, communication, and ownership skills, with ability to work across asset classes and data sources.
Our team is growing and we are looking for a Business Analyst in Securities Reference Data team with experience in institutional flow. You will work closely with users and application developers to identify and analyze requirements, review large volumes of data, define business and technical requirements, and validate deliveries. To be successful you will need solid analytical skills, an enthusiasm for taking ownership, a strong commitment to quality, and the ability to communicate effectively.
Principal Responsibilities
Analyze reference data needs for various asset classes, suggest solutions and build as necessary
Analyze the data from various sources, identify patterns, structures and data life-cycle
Develop Data Quality checks and Pro-actively manage Data Quality issues
Build requirements for Data-Model, integration, and process work-flow
Translate the business requirements into functional requirements for development
Qualifications/Skills Required
3+ years of work experience as an Analyst in the financial industry with experience across asset classes
Strong SQL skills to work with large volumes of data
Strong analytical skills to identify patterns of data and structures to correlate data from multiple sources
Strong organization and documentation skills
Strong communication and interpersonal skills to work with a global team
Familiarity with institutional trading workflows and technology
Experience with Agile methodology is desirable
Experience with Data Providers – Bloomberg, Reuters/Refinitive, Exchanges (CME, ICE, etc.) is a plus
Experience using AI tools for productivity gains is a plus




