
Data & Analytics Group (DAG)- Sr. Associate - Investment Management
Last Date to Apply: June 18, 2025
ApplyAdded Today : 808
Expired Today : 167
Morgan Stanley
JOB TITLE
TEAM – Data & Analytics Group (DAG)
LEVEL – Sr. Associate
SALIENT FEATURES –
Requirements
Required – Yes / No
People Management No
Global Stakeholder Management Yes
Leadership Role for Strategic Projects spanning multiple functions/ teams Yes
Global Lead / Lead for a function with concentration in India (as % of Global) > 70% No
Technical expertise required (market knowledge, specific systems, regulations etc.) Yes
COMPANY PROFILE -
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries.
As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.
DEPARTMENT PROFILE
Morgan Stanley Investment Management (MSIM), together with its investment advisory affiliates, has $781 billion in assets under management or supervision as of December 31, 2020. Morgan Stanley Investment Management strives to provide outstanding long-term investment performance, service and a comprehensive suite of investment management solutions to a diverse client base, which includes governments, institutions, corporations and individuals worldwide.
Description of Role
We are looking for a career-minded professional with global perspective to join the Mumbai based Data & Analytics Group (DAG).
Key responsibilities
As part of the Data & Analytics Group (DAG) and the Head of the India DAG locally, the individual is responsible for the following –
Collaborate with stakeholders across IM and Firm Data Center of Excellence to develop and deliver on the overarching data governance strategy. Coordinate the onboarding of data into the Firm Data Catalog i.e., FDC (Collibra). Implement strategy for a unified data governance platform to manage data governance. Maintain business metadata including ownership, business glossary, data quality rules, traceability, and issues workflow across the organization in FDC. Work closely with Data Owners/Owner delegates on the issue analysis and development data quality (DQ) rules. Work with IT on enhancing DQ platforms. Monitor DQ metrics and work/ follow up with Business Users on exceptions. End-to-end analysis of business processes, data flows, and data usage to improve business productivity through re-engineering and data governance. Interact with business stakeholders to identify, prioritize, and address data-related needs and issues. Manage development of business requirements and use cases for data-related projects. Manage change control process and participate in user acceptance testing (UAT) activities. Track resolution of data issues and help stakeholders, where required with root cause and formulating corrective solution. Participate in data governance working group activities. Work on various MSIM data initiatives representing DAG as a key subject matter expert and resource on Data Governance Support other DAG initiatives like Data Onboarding and Analytics
Key Skills
Ability to interact with business and technology teams to understand processes and data usage. Skilled in data analysis, able to trace data from source to consumption. Capable of working across organization and as part of a cross-functional virtual team. Ability to work and think independently, but within a team-based approach. Strategic thinker and problem solver, ability to work through an entire issue lifecycle. Ability to prioritize and multi-task. Should be able to lead change and ensure high quality product. Strong communication skills
Key qualifications
Bachelor’s Degree required and any other relevant academic course a plus. 7+ years of data management, data analytics, or data governance experience in financial services Expertise in developing data definition and business glossary, documenting data lineage, and formulating data quality rules. Experience working with BI reporting tools. Knowledge in coding, Python, Excel VBA, SQL a plus Technical understanding of data warehousing, data quality and analytics platforms
Prior experience working with Collibra data governance platform/ MDM platforms preferred
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.
Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.
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