Real Time Index Production Senior Associate

The Production Shared Services (PSS) function is responsible for the seamless and timely delivery of MSCI products and services to clients across multiple business lines, including Index , Analytics, and Sustainability & Climate. This role is specifically focused on Index Production , supporting real-time and end-of-day index calculation and delivery.

The work is highly time-sensitive and business-critical, requiring exceptional accuracy, judgment, accountability, and collaboration. The team operates on a global follow-the-sun model across APAC, EMEA, and the Americas.

Key responsibilities of the team include:

• Enterprise Production Operations: Accurate and timely delivery of workflows across multiple business units.
• Automation & AI Enablement: Leveraging automation tools and AI-assisted workflows to modernize, scale, and enhance production processes across business units.
• Incident Management: Identifying and resolving production issues, coordinating with stakeholders, and driving root cause analysis and permanent remediation.
• Client Case Handling: Managing production-related queries and tickets, ensuring prompt resolution in partnership with global teams.
• Change and Release Readiness: Supporting testing, deployments, and governance for product enhancements and new releases.
• Business Continuity & Resilience: Safeguarding uninterrupted operations and ensuring readiness for critical events.

As a Real Time Index Production Senior Associate, you will play a critical hands-on role with end-to-end ownership of index production workflows and increasing responsibility for driving operational excellence.

You will:

• Execute and oversee complex real-time and end-of-day index production workflows, ensuring delivery within strict deadlines and with a strong zero-error mindset.
• Perform data validation and exception analysis on market data inputs, corporate actions, and index outputs.
• Own incident and problem management workflows in a high-pressure, time-sensitive environment, driving root cause analysis, ensuring timely remediation, and partnering with Technology to implement durable solutions.
• Leverage AI-driven tools (e.g., anomaly detection, AI-assisted log analysis, and LLM-based copilots) to proactively identify production issues, accelerate incident triage, automate data reconciliation, and materially improve the accuracy, scalability, and efficiency of operations.
• Proactively identify and drive enhancements to production workflows by embedding AI and automation, bringing fresh ideas and perspectives to reduce manual intervention and strengthen operational resilience.
• Partner with stakeholders across Product, Technology, and Client Services to resolve issues, influence outcomes, and continuously improve delivery efficiency.
• Own production readiness for product launches, methodology changes, and system enhancements, ensuring risks are identified, mitigated, and communicated.
• Contribute to global team discussions by providing input on production risks, dependencies, and readiness.
• Maintain high-quality documentation, runbooks, and control frameworks to support a zero-error, audit-ready production environment, while acting as a role model and influencing best practices across the team.

• 7+ years of experience in index production, financial data operations, or real-time market data environments.
• Proven experience in Index Production workflows, including index calculation, rebalancing, and corporate actions handling.
• Hands-on experience with AI-enabled tools (e.g., generative AI copilots, anomaly detection systems, API-driven automation tools) and a strong interest in applying AI/ML to transform production workflows.
• Demonstrated track record of operating in high-stakes environments with a strong focus on accuracy, control, and zero-defect delivery.
• Strong understanding of financial markets, index methodologies, and data workflows.
• Experience working in time-sensitive, SLA-driven operational environments.
• Proficiency in SQL and Python (or similar scripting languages) for data analysis, automation, and troubleshooting; working knowledge of Excel.
• Strong technical aptitude with hands-on experience in cloud-native platforms (AWS, GCP, Azure), observability and monitoring tools (e.g., Datadog, Grafana, Splunk), workflow orchestration, APIs, and automation technologies.
• Strong technical and operational mindset, with experience in automation, workflow orchestration, and cloud environments (AWS, Azure, Snowflake).
• Familiarity with workflow tools, dashboards, and monitoring systems.
• Strong analytical and problem-solving skills, with the ability to investigate and resolve complex production issues.
• Strong communication skills with the ability to collaborate effectively with global stakeholders.
• Demonstrated ability to learn quickly, adapt to new technologies, and contribute innovative ideas to improve processes.
• Willingness to work in a global, shift-based environment supporting real-time production cycles.