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ISS (Institutional Shareholder Services)

Data Quality Analyst

Posted 5 Days Ago
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In-Office
Mumbai, Maharashtra
Mid level
In-Office
Mumbai, Maharashtra
Mid level
The Data Quality Analyst will verify data accuracy related to corporate governance, develop testing frameworks, and support software deployment within the QBIT team.
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Let’s be #BrilliantTogether

ISS STOXX is actively hiring for Data Quality Analyst to join our QBIT Team (Quality Assurance Benchmarking and Independent Testing) in Mumbai (Goregaon East), India.

ISS Governance

Governance offerings include objective governance research and recommendations, and end-to-end proxy voting and distribution solutions. Institutional clients have long turned to ISS to apply their corporate governance views, identify environmental, social, and governance risk, and manage their complete proxy voting needs on a global basis. ISS covers approximately 44,000 meetings in 115 countries yearly, delivering proxy research and vote recommendations while working closely with clients to execute more than 10.2 million ballots representing 4.2 trillion shares. To learn more, visit https://www.issgovernance.com/solutions/proxy-voting-services/.

Overview:

The QBIT Analytical Verification team independently verifies if data solutions, data processes, and business logic related to corporate governance and responsible investing are implemented accurately. The analytical verification encompasses independently developing prototypes of models, data processes, and business logic, devising test cases and vectors, production code review, and documentation of the test results. An Associate 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.  

This is a techno-functional role that blends the domain of Environment, Social and Corporate Governance (ESG) risk with data technology and analysis. You will primarily work on technologies such as MS SQL Server 2017, R and Python. The role does not involve statistical or quantitative modeling or developing machine learning models.

Responsibilities:
 

  • Develop prototypes of models, data processes, and business logic related to corporate governance and responsible investing products and data platforms

  • Develop approach and framework to verify the models, data processes, and business logics underlying various analytical products and data solutions

  • Data profiling and data quality analysis.

  • Backed by data analysis, assess and evaluate model specifications, data flow and processes and business logic for accuracy, completeness, thoroughness, and potential dislocations

  • Software deployment and release management

  • Assess the scope of different projects and define timelines, plans, and roadmap

  • Collaborate and communicate with modeling, development, and product teams working in a global setting to plan and execute verification strategy. Document results and provide solutions

  • Promote an environment that fosters a commitment to data and product quality, operational excellence, collaboration, and knowledge sharing

Qualification:
 

  • Experience - 2 to 4 years.

  • B.E./B.Tech. /MCA with a strong programming aptitude.

  • Management Degree with specialization in Finance or someone who has worked in the financial domain with a good understanding in financial data.

  • Experience in Automation Testing using Python and SQL and Database Testing.

  • Or Strong in Data Analysis using R or Python and SQL.

  • Strong analytical, numeric, and problem-solving skills.

  • Ability to multi-task and prioritize tasks as needed.

  • 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. 

#ASSOCIATE

#LI-SS1

What You Can Expect from Us

At ISS STOXX, our people are our driving force. We are committed to building a culture that values diverse skills, perspectives, and experiences. We hire the best talent in our industry and empower them with the resources, support, and opportunities to grow—professionally and personally.

 

Together, we foster an environment that fuels creativity, drives innovation, and shapes our future success.

 

Let’s empower, collaborate, and inspire.

 

Let’s be #BrilliantTogether.

About ISS STOXX

ISS STOXX GmbH is a leading provider of research and technology solutions for the financial market. Established in 1985, we offer top-notch benchmark and custom indices globally, helping clients identify investment opportunities and manage portfolio risks. Our services cover corporate governance, sustainability, cyber risk, and fund intelligence. Majority-owned by Deutsche Börse Group, ISS STOXX has over 3,400 professionals in 33 locations worldwide, serving around 6,400 clients, including institutional investors and companies focused on ESG, cyber, and governance risk. Clients trust our expertise to make informed decisions for their stakeholders' benefit. 

Visit our website: https://www.issgovernance.com       

View additional open roles: https://www.issgovernance.com/join-the-iss-team/      

Institutional Shareholder Services (“ISS”) is committed to fostering, cultivating, and preserving a culture of diversity and inclusion. It is our policy to prohibit discrimination or harassment against any applicant or employee on the basis of race, color, ethnicity, creed, religion, sex, age, height, weight, citizenship status, national origin, social origin, sexual orientation, gender identity or gender expression, pregnancy status, marital status, familial status, mental or physical disability, veteran status, military service or status, genetic information, or any other characteristic protected by law (referred to as “protected status”).  All activities including, but not limited to, recruiting and hiring, recruitment advertising, promotions, performance appraisals, training, job assignments, compensation, demotions, transfers, terminations (including layoffs), benefits, and other terms, conditions, and privileges of employment, are and will be administered on a non-discriminatory basis, consistent with all applicable federal, state, and local requirements. 

Top Skills

Ms Sql Server 2017
Python
R

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