2 months ago
Bengaluru, IndiaMid Level / Senior
Responsibilities
- Architect, design, develop, integrate, and deploy secure, scalable, high-performance market data applications and platforms.
- Translate business requirements and product roadmaps into applications and tools for reference data, security master, and terms-and-conditions databases.
- Evaluate architectural approaches, frameworks, technologies, and design solutions while documenting architecture and workflow proposals.
- Develop coding, architecture, design, and automated testing best practices, including automated test frameworks for continuous integration and deployment.
- Automate the operation and management of MSCI market data and support monitoring, telemetry, reliability, scalability, and fault-tolerant production processes.
- Collaborate with Research, Product Management, Operations, Data Content Services, Infrastructure, and Enterprise Architecture stakeholders.
Requirements
- Bachelor’s degree in Computer Science, Data Science, Financial Engineering, Quantitative Finance, or a related science or technology field, or equivalent experience.
- 3–5 years of experience in some or all of Python, Perl, C/C++, Linux/Unix, Git version control, PL/SQL, Microsoft Azure, and DevOps pipeline development.
- Proficiency with SQL and relational databases, including Oracle, SQL Server, Azure SQL, and PostgreSQL.
- Experience with big data environments and cloud storage technologies such as ADLS and Snowflake.
- Experience building market data systems covering financial products, instrument reference data, legal entity hierarchies, corporate fundamentals, corporate actions, benchmark/index data, and instrument and derivatives pricing and settlement.
- Experience with large vendor market data architectures or products such as LSEG/Refinitiv DataScope, Onsite Fixed Income-EJV, Markit, IDC, S&P, and Moody’s, or multi-asset-class benchmark data from JPM, FTSE, iBoxx, Merrill, or Bloomberg/Barclays.
- Hands-on experience with AI coding assistants such as Claude Code, Cursor, GitHub Copilot, or Codex; familiarity with MCP or reusable Skills is a plus.
- Strong ability to work independently, along with strong communication and presentation skills.
Benefits
- Transparent location-tailored compensation and comprehensive employee benefits supporting financial security, health, and wellbeing.
- Flexible working arrangements, advanced technology, and collaborative workspaces.
- Global orientation programming, Learning@MSCI, LinkedIn Learning Pro, and tailored ongoing development opportunities.
- Professional growth through multi-directional career paths, internal mobility, and expanded roles.
- Inclusive workplace culture with multiple Employee Resource Groups and reasonable accommodations for individuals with disabilities.
Categories
BackendData Engineering
About MSCI Inc.
MSCI builds equity indexes, risk/portfolio analytics software, and ESG and climate datasets for institutional investors, who license benchmarks and subscribe to its research and tools. Its MSCI equity indexes are widely used as benchmarks for ETFs and institutional portfolios, and the firm also offers real estate and factor investing analytics. MSCI is headquartered in New York and is a public company listed on the NYSE (ticker: MSCI).