Morningstar Logo

Morningstar

Associate Director of Quantitative Research, Index Management

Reposted 15 Hours Ago
Be an Early Applicant
Hybrid
Navi Mumbai, Thane, Maharashtra
Expert/Leader
Hybrid
Navi Mumbai, Thane, Maharashtra
Expert/Leader
Lead index reconstitution, rebalancing, and methodology ownership across asset classes. Manage a quantitative team, drive automation and AI-enabled analytics, ensure data governance and index quality, engage stakeholders and clients, and advance operational scalability and infrastructure modernization.
The summary above was generated by AI
About:
Morningstar is a leading provider of independent investment research in North America, Europe, Australia, and Asia. We offer a wide variety of products and solutions that serve market participants of all kinds, including individual and institutional investors in public and private capital markets, financial advisors, asset managers, retirement plan providers and sponsors, and issuers of securities.
The Group:
Morningstar Indexes is one of the fastest-growing business units at Morningstar, delivering innovative indexing solutions that measure and benchmark global markets and asset classes. Our comprehensive suite spans equities, fixed income, and multi-asset strategies, supporting investors across the full investment lifecycle-from market monitoring and benchmarking to asset allocation and portfolio construction.
Our indexes underpin a wide range of investment products, including strategic beta solutions built on proprietary research, as well as broad market benchmarks widely used by global asset managers and product providers.
The Role:
The Morningstar Indexes Global Operations team seeks a dynamic, results-driven, analytical and experienced leader for our Index Management & Analytics (IMA) team.
The team is responsible to maintain the integrity and accuracy of our indexes, through index reconstitution, rebalance and ongoing maintenance across all asset classes and business lines. The team also plays a critical role in methodology evolution, analytics development, and market classification frameworks.
This is a player-coach role combining hands-on quantitative expertise with team leadership. You will help shape the strategic roadmap, enhance operational infrastructure, and drive automation and AI adoption to support future scale. You will work cross-functionally with Product, Technology, New Product Development, and global Operations teams, while engaging directly with clients and stakeholders.
A successful Associate Director of Quant Research, Index Management & Analytics will have strong leadership and quantitative finance skills, a focus on operational excellence, a general understanding of financial markets and indexing. As part of this role, you will join a global team and will work with colleagues based in the US, Europe and Asia. The position is based in Vashi, Navi Mumbai (India)
Key Responsibilities
  • Index Management & Methodology Ownership
• Lead end-to-end execution of index reconstitution and rebalancing across asset classes• Ensure methodologies are implemented consistently, accurately, and at scale• Provide subject matter expertise on index maintenance
  • Innovation & Strategy
• Proactively identify and drive methodology enhancements aligned with market evolution• Contribute to the IMA strategic roadmap, including infrastructure modernization and AI-enabled capabilities
  • Team Leadership
• Manage and mentor a team of quantitative managers and analysts• Foster a high-performance, collaborative culture with strong accountability and continuous learning
  • Data Governance & Index Quality
• Oversee quality checks for data inputs critical to index construction (e.g., fundamentals, shares outstanding, float, classifications)• Strengthen data quality frameworks and controls to minimize operational risk• Oversee validation of index levels, portfolios, and restatement activities when required
  • Client & Stakeholder Engagement
• Serve as a key point of contact for internal and external stakeholders• Communicate index methodology, analytics, and reconstitution outcomes to clients and partners• Support commercial and client engagement efforts with data-driven insights
  • Operational Excellence & Automation
• Drive process improvements and automation to enhance efficiency and reduce manual dependencies• Improve scalability and resilience of index operations
Qualifications & Experience• Bachelor's or Master's degree in Finance, Engineering, Economics, or a related field• CFA (completed or in progress) strongly preferred• 12-15 years of relevant experience in index management, quantitative research, or financial data operations• Proven experience leading teams and managing global stakeholders
Skills & Competencies• Strong understanding of financial markets, index construction, and portfolio analytics• Advanced proficiency in Python, SQL, and data analytics; experience with financial modeling preferred• General proficiency and practical experience in applying AI/ML to financial data, operations or analytics workflows; and familiarity with generative AI tools• Excellent problem-solving skills with strong attention to detail and control mindset• Ability to manage multiple priorities and deliver under tight timelines• Strong communication skills with the ability to translate complex concepts for diverse audiences• Passion for innovation, automation, and continuous improvement
Morningstar is an equal opportunity employer.
Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.
I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity

Similar Jobs at Morningstar

15 Hours Ago
Hybrid
Expert/Leader
Expert/Leader
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
The Engineering Manager will lead a software engineering team, focusing on dataset migration and developing scalable, maintainable systems using Java and React.js. Responsibilities include hands-on coding, team enablement, architecture discussions, and coordinating project schedules.
Top Skills: Ai-Augmented ToolsAWSAzureGCPGithub CopilotJavaMs SqlMySQLOracleReact
15 Hours Ago
Hybrid
Senior level
Senior level
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
Lead engineering efforts in enterprise automation for Sales and Finance technologies, build and coach teams, ensuring robust integrations and high-quality performance.
Top Skills: AWSBillingCatalystCpqDockerErpGainsightGCPJavaKafkaKubernetesOpenapiPythonRestSalesforceSnowflakeSQLWorkato
15 Hours Ago
Hybrid
Senior level
Senior level
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
The Lead Security Analyst supports application security automation by integrating analysis tools, helping with vulnerability remediation, and training technical staff.
Top Skills: .NetBrightsecJavaJavaScriptJenkinsPHPRubySemgrepWaf

What you need to know about the Pune Tech Scene

Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account