MSCI Services is looking for a Data Operations - Analyst to join our Shared Service Data operations team. This role focuses on Business Activity classification with a specialization in Digital Assets. The MSCI Data team researches and evaluates companies, instruments, and other asset classes on a multitude of different factors. You'll be responsible for classifying Digital Assets and related asset types according to the Datonomy methodology and managing their systematic upkeep. This position offers exposure to the full lifecycle of digital asset initiation, classification, ongoing maintenance, and its derived use across MSCI Index and other business units.
You will be a member of a highly skilled team that solves complex problems.
Responsibilities:
- Be part of the team to re-engineer the Digital Asset classification operations.
- Work with the engineering team to design, build, and test systems.
- Build AI/LLM augmented QA, source transparency, and governance controls into the process.
- Integrate a unique digital asset identifier and ongoing universe management process.
- Also be responsible for working on other business classifications as part of the larger team, including issuer and business segment classification across different asset classes (Equities, Privates, Fixed Income issuers).
- Manage daily operations, coverage expansion, and internal and client query management.
- Gain exposure to Equity, Fixed Income & other related indexes, performance and analytics; Exchange and vendor data feeds and symbology, etc.
- Perform in-depth analysis of data, analytics, and workflows to improve processes and/or develop new work tools in collaboration with Tech and Development teams.
- Collaborate across a global organization to service both internal and external clients in a shared services environment.
- Partner with our product and coverage organization to service first-rate clientele, including many of the world's central banks, leading financial institutions, hedge funds, and corporations.
Qualifications:
- Master's degree in Finance/Economics from a premier institute (including equivalents like CFA, CA, FRM) or an engineering degree with solid experience in finance.
- Working knowledge of financial markets data operations (Equity, Fixed Income, Alternate investments).
- Excellent communication skills (both written and presentation), with the ability to work in a multicultural environment.
- Self-starter with the drive to work independently with minimum oversight.
- Solid background in Excel and working knowledge of SQL.
- Experience working with IT teams, knowledge of charting tools (Tableau, Power BI etc.), and basic coding skills to build Proof of Concept models (Python, R, other scripting etc.) will be an added advantage.
Desired Experience:
- Exposure to content/research work in Alternate Asset classes, especially digital assets, will be a plus.
- Experience in working with global vendors will be a plus (Reuters, Interactive Data, Factset etc.).
- Exposure to different work shifts and schedules (but No US night shift).
