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. 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.
- Incident Management: Identifying and resolving production issues, coordinating with stakeholders, and contributing to 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.
- Automation & AI Enablement: Leverage automation tools and AI-assisted workflows to drive initiatives that modernize, scale, and improve production processes across business units.
As a Senior Associate in Real Time Index Production, you will be accountable for the delivery and continuous improvement of index production workstreams across global markets. This is a hands-on role, you will be deeply embedded in daily production, real-time monitoring, and quality assurance while also operating with a high degree of independence, leading incident resolution, and taking end-to-end ownership of complex initiatives with minimal supervision. This role is the bridge between execution and leadership — suited for someone who drives resolution, challenges the status quo, and raises the bar for the team around them. You will:
- Execute daily real-time and end-of-day index production processes, ensuring delivery within strict deadlines and SLA compliance across global markets
- Monitor real-time production systems, investigate alerts, and perform root cause analysis — driving resolution independently rather than waiting for direction
- Lead quality assurance efforts across production workflows — designing and executing test plans, validating system enhancements, and ensuring changes are thoroughly tested before deployment
- Review and sign off on QA findings, identifying edge cases and escalating risks before they reach production
- Lead incident and bridge calls during live production issues, coordinating cross-team resolution and ensuring permanent remediation
- Independently manage projects from requirements gathering through deployment, proactively identifying risks and dependencies without waiting to be prompted
- Apply sound operational judgment to resolve production issues within established boundaries, knowing when to own the call and when to elevate
- Identify and implement opportunities to embed automation and AI-driven solutions into production workflows, reducing manual intervention and improving operational resilience
- Leverage AI-driven tools such as anomaly detection, AI-assisted log analysis, and LLM-based copilots to proactively identify production issues and accelerate triage
- Represent the team confidently in cross-functional discussions with Technology, Product, and Client Services, pushing back constructively when priorities or timelines need to be challenged
- Mentor and guide junior team members, serving as the first point of escalation before issues reach senior management
- Contribute to governance, documentation, and best practices to support operational standards across the team
- Ensure production readiness for system enhancements, methodology updates, and product launches within your workstream
- At least 5 years of experience in data operations, production services, or financial data workflows, with experience in Index Data Operations strongly preferred
- Demonstrated ability to lead incident calls and drive issues to resolution independently, with minimal oversight required
- Proven track record of owning projects end-to-end — from business requirements through testing and deployment — with minimal supervision
- Hands-on experience in quality assurance, including designing test plans, executing UAT, and validating system changes in operational environments
- Strong understanding of financial markets, index concepts, and corporate actions
- Experience working in time-sensitive, SLA-driven operational environments with a strong ownership mindset
- Proficiency in SQL and Excel; working knowledge of Python or scripting preferred
- Practical exposure to AI-enabled tools such as generative AI copilots and anomaly detection systems, with demonstrated ability to apply them to operational problems
- Strong communication skills and the confidence to represent the team and push back constructively in global stakeholder discussions
- Genuine interest in developing those around you, with experience mentoring or guiding junior colleagues
- Willingness to work in a global, shift-based environment supporting real-time production cycles