Based on the business requirements, define, implement and support a Quality Assurance framework and process relevant to the ISS STOXX market data pipeline. This should cover activities such as migration of marekt data feeds from legacy platforms to new platform (MDMS), changes to market data feeds, end-to-end data flow integrity, new market data feeds and flows, and data delivery to downstream platforms via feeds/APIs
Specification, creation and continuous improvement of tools for comparative and descriptive analysis
Test-staging, test-execution, and review of quality assurance test-cycles within an Agile delivery environment
Partner with cross-functional data stakeholders globally in determining root cause and resolving data quality issues
Manage data QA projects. Ensure the scope, level of effort, cost, strategy, roadmap, milestones, timelines, deliverables, dependencies and success criteria are well-defined and communicated, risks identified and mitigated, and expectations managed and met
Hire, coach and mentor talent
Promote an environment that fosters commitment to rigor, operational excellence, collaboration, and knowledge sharing
Qualification:
Bachelors or higher in Information Science / Engineering / Econometrics / Statistics / Physics / Mathematics
5 to 10 years of experience in structured and automated Data Quality Assessment and controls at scale
Experience in exploratory data analysis, data wrangling and development of analytical tools using SQL, Python and similar technologies
Demonstrable history of Acceptance Test Management in a technology-enabled environment, including defect management, prioritization and resolution
Demonstrable history of implementation of operational process and supporting tooling
Proven experience in software and data testing, with a focus on market-data systems
Proficiency in test management tooling
A good understanding of data and concepts related to capital markets and investment analysis
Strong project management and execution capability
