Data Transformation - Senior Associate

• As a member of MSCI Data Acquisition and Collection team, you are expected to have a strong interest in general Environment, Social, Governance, Climate and policy frameworks around these domains as well as regulatory trends
• Take active part in projects dealing with electronification of ESG & Climate frameworks and principles into data definitions which can be operationalized for collection
• Collaborate with Research teams on building data collection templates and with technology teams to translate these into implementable data models
• Do hands-on research with new data sets by studying company disclosures to help connect research proposals with implementable solution which are scalable
• Independently run analysis on data sets (either collected or from third party) to detect trends/patterns (EDA) and propose ways to build anomaly detection on new and existing content
• Analyze & research the historical data corrections across all ESG & Climate data and propose & implement contextual/thematic QA to detect cases that potentially may not be captured in current QA framework
• Codify data definitions with an intent to build NLP driven data extraction models (leveraging Traditional approaches/LLMs) to automate detection and extraction of Facts from company disclosures
• Help design and set-up new data collection processes and help with integration of these processes with ongoing data operations
• Deliver top quality data aligned with MSCI methodology, service level agreements, and regulatory requirements;
• Steer to improve methodology and SOP documents leveraging data and content expertise;
• Drive process improvements to ensure consistent data quality and efficiency, such as automation of data quality diagnostics by developing a new system/tool that will enable quality assessment of data without manual intervention;
• Contribute to process improvements to ensure consistent data quality and efficiency, such as automation of data quality diagnostics by developing a new system/tool which will enable quality assessment of data without manual intervention;
• Work with internal stakeholders and downstream teams on understanding data requirement, data QC scope and data delivery;
• Create reports/dashboards which provide quantitative data assessment metrics which justify recommendations. Visualization, outlier detection/analysis, data summaries, etc.
• Sharing plans, recommendations, summaries with management through conference calls, meetings and presentations with internal/external teams, Research and product

• Analytical skills and has strong attention to details - Should have keen interest in analyzing data, process flows and quality focused
• Exposure of using tools such as Python/SQL etc. - Demonstrated experience in improving process/Automation through applications of Python/ML/RPA
• Work exposure with any of the visualization tools such as PowerBI would be preferable. Should have very good hands on skills working with advanced excel features.
• Self-starter and self-motivated, should be solutions focused and have the ability to work in unstructured environments
• Comfortable working in a team environment across hierarchies, functions and geographies
• Should have experience of working in Financial/technology/Business Analysis domain
• Knowledge about equities or financial markets in general. Exposure to ESG data would be added advantage

• 7+ years of full-time professional experience in:
• Experience in data quality and automation related roles, Business analysis, analyzing existing process and reengineer to achieve efficiency and improved quality,
• Exposure of using tools such as Pandas/SQL, Power BI etc. would be preferable
• Financial services experience; good to have exposure to ESG

• Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing.

• Flexible working arrangements, advanced technology, and collaborative workspaces.

• A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results.

• A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for for ongoing skills development.

• Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles.

• We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women s Leadership Forum.

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