The Time Series Data Operations team delivers production data across multiple asset classes—fixed income, futures, derivatives, and equity analytics—supporting MSCI's index products and analytical models. The team is responsible for:

• Daily data production and quality assurance for client-facing data products
• Vendor data integration and management
• Methodology implementations, historical restatements, and platform migrations
• Data quality investigation including pricing errors, model performance, and analytical discrepancies
• Process automation and efficiency improvements aligned with MSCI's AI transformation mandate
• Cross-functional collaboration with Research, Development, and Product teams

AI & Automation

• Design and implement AI-driven automation for data production workflows, including automated quality checks, anomaly detection, and exception handling
• Build and maintain AI-assisted tools such as automated documentation, intelligent triage systems, and code generation aids
• Define metrics to measure automation progress and efficiency improvements
• Evaluate new AI technologies and identify opportunities to apply them to data operations challenges

Data Production & Quality

• Oversee daily data production and quality assurance across fixed income, futures, derivatives, and equity analytics
• Lead projects involving methodology changes, historical data corrections, vendor transitions, and platform migrations
• Troubleshoot complex data issues involving multiple vendors and data sources
• Improve and automate multi-step production processes to increase reliability and reduce manual work

Leadership & Collaboration

• Work with Research, Development, and Product teams to align data operations with broader business goals
• Lead initiatives to reorganize and improve how data products are structured and delivered
• Represent the team in cross-functional projects and discussions with internal stakeholders and clients
• Mentor team members and share knowledge about workflows, tools, and best practices

Required

• Bachelor's degree in Finance, Economics, Computer Science, Engineering, or related field (or equivalent practical experience)
• 6+ years of experience in financial data operations, market data, or quantitative analytics
• Strong SQL and Python skills; experience working with large datasets and databases
• Familiarity with multiple asset classes: fixed income, derivatives, futures, or equities
• Ability to work independently and collaboratively on complex multi-team projects
• Experience with or strong interest in AI tools, automation, or process improvement
• Strong professional English communication skills, written and verbal

Nice to Have

• Experience using generative AI tools (Claude, ChatGPT, Copilot) in a work context
• CFA, FRM, or similar certification
• Experience with Agile workflows or project management
• Familiarity with market data vendors (Bloomberg, Refinitiv, ICE)
• Experience with cloud platforms (Snowflake, Databricks, AWS, Azure)
• Track record of successfully automating workflows or improving operational processes
• Interest in ESG or sustainability data

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 Learning@MSCI platform, AI Learning Center , 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 Women’s Leadership Forum.

At MSCI we are passionate about what we do, and we are inspired by our vision – to power better decisions. You’ll 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 strengthens global markets by connecting participants across the financial ecosystem with a common language. Our research-based data, analytics and indexes, supported by advanced technology, set standards for global investors and help our clients understand risks and opportunities so they can make better decisions and unlock innovation. We serve asset managers and owners, private-market sponsors and investors, hedge funds, wealth managers, banks, insurers and corporates.

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 Disability.Assistance@msci.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.

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