MSCI - Data Analyst - Data Collection Transformation (7-11 yrs)

Data Collection Transformation (Data Analyst)

Your team responsibilities:

MSCI ESG Data collection team is involved in acquisition of ESG data at scale and QA of the collected data and responsible for establishing and maintaining highest level of data quality and standards across all datasets feeding our ESG products. As an Data Collection Transformation Senior Associate, you will be responsible for leading and delivering on several initiatives as part of the ESG transformation agenda, to support rapidly evolving ESG landscape and its adoption in the financial market.

What we offer you:

- At MSCI we are passionate about what we do, and we are inspired by our purpose - to power better investment decisions. You'll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry.

- Wherever you are located you will find transparent compensation schemes and employee benefits that can help ensure your financial security and health. While they vary by different locations, we offer a broad range of benefits that are part of the value you receive as an MSCI employee.

- Our flexible ways of working will allow you to maximize your potential, and we will empower you with the trust, accountability, and advanced technology to perform at your very best.

- You'll find a purposeful approach to wellbeing to provide you with all the resources you need to be your best at work and in your personal life. Our 'Here For You' Employee Assistance Program is available for our employees globally, providing confidential emotional support, financial and legal advice free of charge.

Your key responsibilities:

- 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.

Desired Experience:

- 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.

Desired Qualification:

- Minimum of Bachelors' degree required.

- Advanced degree in related field, such as Masters is preferred but not required.