Senior Data Quality Analyst (Python/R and SQL)

ISS is growing! ISS seek a Senior Data Quality Analyst to join our QBIT (Quality Assurance Benchmarking and Independent Testing) Analytics Team in Mumbai, India.

Overview:

The QBIT Analytical Verification team independently verifies if various models, data solutions, data processes and business logics related to corporate governance and responsible investing are implemented accurately. The analytical verification encompasses independently developing prototypes of models, data processes and business logics, devising test cases and vectors, production code review and documentation of the test results. The candidate is expected to assist the team in all the stages of the analytical verification cycle. The candidate will be responsible for designing, planning, executing, and supporting the automated verification as well as software deployment and release management.

Responsibilities:

• This will be an individual contributor role.
• Independent verification of logical and analytical models used in environmental, social, corporate governance (ESG) risk analysis, investment performance analysis, financial intelligence, stock ranking, portfolio analysis, and market intelligence.
• Devise data and model verification strategy, develop and implement verification frameworks and prototypes using python/R, and perform data quality analysis
• Closely collaborate with data engineers, software development, and product teams to ensure the accuracy and reliability of tools and data
• Evaluate model specifications, data processes, and business logic for accuracy, completeness, thoroughness, and potential dislocations
• End-to-end project and stakeholder management in a global setting
• Software deployment and release management
• Promote an environment that fosters a commitment to rigor in data research and analysis operational excellence, collaboration, and knowledge sharing

Note: This is a techno-functional role that blends the domains of ESG risk, programming, and data analysis. You will primarily work on technologies such as Python/R and MS SQL Server 2017.

Qualifications:

• Bachelors/Masters in Engineering/Information Science with strong hands-on experience in analytical programming using Python/R in the context of data manipulation, transformation, wrangling, or analysis
• An MBA (finance), CFA level 1 or 2, or CIPM will be a big plus
• Overall, 7 to 9 years of relevant experience.
• Meticulous attention to detail, ability to transform data into actionable insights, identify patterns, trends, relationships, and clusters in the data
• 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
• Please Note: The job role does not involve work related to Machine Learning.

Regards,

HR Team