Assets Data Acquisition and Transformation

4 days ago


Mumbai Maharashtra, India MSCI Inc Full time

Job Reference:

- 2025-3021
- Location:

- Mumbai
- Category:

- Data and Operations
- Solution:

- Climate

**Assets Data Acquisition and Transformation**

Your Team Responsibilities

MSCI is a leading provider of investment decision support tools to clients worldwide, ranging from large pension plans to boutique hedge funds. We offer a range of products and services - including indexes, portfolio risk and performance analytics

**Geospatial Data Team**is responsible for data quality and maintaining best practices of data management for Climate and ESG data. Cultivating data management best practices and processes that improve the speed and accuracy of data delivery, including data access, quality control, automation, integration and helping setup online data operations.
- ** Geospatial Data Acquisition**: Gatekeeper for all geospatial data acquisition, ensuring compliance with best practices and drive system development and process set-up to meet “Data Factory” requirements.
- ** Data Onboarding & Integration**: Oversee the ingestion and integration of third-party data into MSCI systems. Collaborate with product and research teams to prioritize data acquisition efforts.
- ** Data Governance Best Practices**: Establish and enforce data governance standards for SLA management, new data acquisitions, source changes, and data cataloguing.
- ** Process Transformation**: Optimize and scale existing data operations by implementing next-generation data acquisition workflows, leveraging cloud-native solutions for improved efficiency and quality.
- ** Data Solutions for Research & Product Teams**: Partner with research and product teams to develop new methodologies, assess feasibility, and provide practical recommendations on data-driven initiatives.
- ** Operations Process Automation**: Drive automation of manual processes through hands-on tactical solutions while implementing scalable, long-term production systems.
- ** Data QA Engineering**: Develop and enhance quality assurance (QA) frameworks for new and existing data. Build efficient QA pipelines, multi-vendor validation systems, and data certification processes. Document findings and share insights with relevant research and product committees.

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
- 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
- Propose & implement contextual/thematic QA to detect cases that potentially may not be captured in current QA framework
- Help design and set-up new data collection processes and help with integration of these processes with ongoing Data
- 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.
- 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

Your skills and experience that will help you excel
- Hands on experience with programming languages / tools preferred - Python
- Analytical skills and has strong attention to details - Should have keen interest in analyzing data, process flows and quality focused
- Ability to analyze large data sets to identify anomalies
- Solid exposure & understanding of driving large scale business process re-engineering, business transformation
- Experience of working through ambiguity and lack of structure while being able to drive consensus across a variety of stakeholders at different levels and from different backgrounds
- Strong written and verbal communication skills and stakeholder management skills

About MSCI

**What we offer you**
- 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



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