Institutional Shareholder Services, Inc.

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Senior Associate - Data Quality Analysis

Senior Associate - Data Quality Analysis

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Quality Assurance

More information about this job


As a Sr. Associate, you will lead our data quality assurance and verification effort and will act as a data domain specialist. You will devise data verification strategy, and conceptualize and implement verification as well as quality analysis standards and frameworks. You will closely collaborate with data engineers, database developers and product teams to ensure accuracy, completeness and reliability of data in our reference and master data hubs.


You will be responsible for creating an environment that fosters growth and development of people and ideas. You will build the team by reinforcing inclusiveness, knowledge sharing, and values.


This is a techno-functional role that blends the domain of capital markets and Environment, Social and Governance (ESG) risk factors with the data technology and analysis. You will primarily work on technologies such as MS SQL Server 2014 and R/Python.


  • Understand the reference and master data, data architecture, data processes and a broad range of applications that consume data
  • Develop and validate processes, logics and derivations for data mapping and wrangling involving large multi-dimensional data sets
  • Develop data quality analysis and reporting framework by employing various data analysis techniques and suitable technology platforms.
  • Contribute to defining data architecture/model and processes, enhancing algorithms and making our data-related processes more efficient, accurate and timely, and institutionalizing best practices in data standards, data governance and related knowledge management
  • Closely work with various global stakeholders to understand business requirements related to data processes
  • Provide expertise and leadership on making technical decisions, hiring and mentoring junior team members, and focusing on excellence in project management and delivery discipline
  • Promote an environment that fosters commitment to rigor in data research and analysis operational excellence, collaboration and knowledge sharing


  • Bachelors/Masters preferably in Computer/IT Engineering, Information Science, Statistics, Mathematics, Finance, Economics
  • 5-8 years of experience in domains such as data analysis, data warehousing, database/ETL development, master data management, reference data management or data governance
  • Intermediate to advanced experience in development using MS SQL/Oracle
  • At least 3-4 years of experience of working with and good understanding of capital/financial markets data (company, security, financial instruments, corporate action, institutional ownership, company financials, ESG, shareholder meetings, investment banking, trading etc.)
  • Experience of directly working with data provided by financial market data vendors such as Bloomberg, Factset, S&P Capital IQ, Compustat, Thomson Reuters, IDS, Markit, Trading exchanges etc. will be a big plus.
  • Experience in data manipulation/wrangling/analysis using R/VBA/Python (Pandas, NumPy) will be an added advantage
  • Meticulous attention to detail, ability to transform data into actionable insights, identify patterns, trends, relationships and clusters in the data
  • Proven track record of excellence in project management
  • Strong people and team management skills
  • Ability to effectively communicate and collaborate with global business and technical teams
  • Self-starter and quick-learner
  • Ability to adapt and work in a fast paced environment independently with little supervision