Responsibilities
Join our client’s Reference data team as a Reference Data Analyst, driving data accuracy, integrity, and overall platform maintenance across various financial instrument types/ Your role will encompass collaborative work with prominent data vendors, our internal team, and key stakeholders to enhance quality and reliability of our reference data across the organisation.
* Data Management & Exception Resolution: Review and resolve daily discrepancies in of Equities, Bonds, Indices, Issuers, etc. Work closely with data vendors such as Bloomberg and S&P to rectify inaccurate data points.
* Stakeholder Communication & Data Onboarding: Ensure effective communication with all users and subscribers of reference data. Write business requirements to onboard new datasets in our Enterprise Data Management (EDM) platform. Manage reference data onboarding using Azure Databricks, ensuring data quality checks and alerting.
* Testing & Platform Maintenance: Participate in regular and comprehensive testing sprints. Collaborate with EDM developers to ensure smooth operation of the platform.
* Procedure Documentation & Enhancement: Assist in establishing and documenting procedures for reference data aimed at increasing data quality and integrity.
What makes a great candidate
* Minimum 7.0 Bachelor’s degree in Maths, Statistics, Engineering, Economics, Finance or a related degree, ideally from a top-tier university alongside strong Bachillerato results
* Familiarity with SQL and Python
* Basic understanding of data lifecycle, management, and familiarity with various data types (reference, security, instrument, entity)
* Eagerness to learn, with strong problem-solving skills and a clear communication style
* 2+ years’ experience relating to finance, data management, or technology
* Interest in developing a deeper understanding of hedge funds, and the financial industry in general
* Quick learner, adaptable, comfortable in a fast-paced environment, and open to working with developers and various tools