RESPONSIBILITIES:

• Develop and maintain deep understanding of reference and master data sets mentioned above, vendor data, and underlying data architecture, processes, methodology, and systems

• Promptly analyze and resolve data quality issues raised by stakeholders and internal quality assurance processes

• Define, develop, and maintain automated data quality tests and metrices, monitor exceptions and take corrective measures

• Work with vendors to ensure timely resolution of integrity issues in their data

• Respond to queries on data, definition, logic, and methodology raised by stakeholders

• Define, document, and maintain data standards, user guides, definitions, methodology, logics, processes, and governance policies

DESIRED EXPERIENCE AND QUALIFICATIONS :

Mandatory:

• A university degree, preferably in engineering

• 2 to 9 years of relevant experience in reference data audit/governance/management in capital markets data domain

• Intermediate-level hands-on experience in SQL

• Good understanding of primary sources of reference data such as KIID, prospectus, factsheet, regulatory and exchange filings, annual report, corporate registry etc.

• Experience of working on data provided by one or more vendors such as Refinitiv/Lipper, Morningstar, Bloomberg, Capital IQ, Compustat, FactSet, EDGAR, ICE, Thomson Reuters, IHS Markit etc.

• Ability to fluently and effectively communicate and collaborate with global business and technical teams

• Self-starter and quick learner

• Should have an eye for detail and analytical skills for conducting quality checks

• Ability to adapt and work in a fast-paced environment independently with little supervision

Good to have:

• Microsoft/Oracle SQL Certifications

• Professional courses or certifications related to capital markets (e.g. MBA, CFA Level 1, NCFM certifications and online courses)

• Experience of data collection, methodology and/or data quality assurance in Funds space is a plus