Assets Data Acquisition and Transformation
- MSCI Services
- 3 - 6 years
- Mumbai
- 2 months ago
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Job Description
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.
- 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
- 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
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 share their expertise to innovate and deliver for our clients.
- Global Orientation program to kickstart your journey, followed by access to our Le*****g@MS*I platform, LinkedIn Learning Pro and tailored learning opportunities 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 Womens Leadership Forum.
At MSCI we are passionate about what we do, and we are inspired by our purpose to power better investment decisions. Youll 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.
MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process.
MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Di******************e@ms*i.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries.
To all recruitment agencies
MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes.
Note on recruitment scams
We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com
Job Classification
Industry: Financial ServicesFunctional Area / Department: Data Science & Analytics, Role Category: Business Intelligence & AnalyticsRole: Business Intelligence & Analytics - OtherEmployement Type: Full timeContact Details:
Company: MSCI ServicesLocation(s): Mumbai
Keyskills: python data analytical verbal communication transformation research regulatory requirements business process re-engineering stakeholder management writing business transformation data acquisition asset programming process transformation communication skills
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