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Associate Quantitative Analyst Job Openings in Mumbai 2025!!!

Morningstar has announced a new vacancy for the role of Associate Quantitative Analyst. The posting is based in Mumbai, and candidates with Graduate / Engineering / Post Graduate qualifications (Fresher or Experienced) are eligible to apply. This updated listing includes essential details such as responsibilities, required skills, and the selection process—optimized with financial-analytics careers for enhanced visibility while maintaining safety and accuracy.

Company Overview

Name of the Company	Morningstar
Required Qualifications	Graduate
Skills	Python / R / Postgres / SQL Server
Category	Research
Work Type	Onsite

As part of the Indexes New Product Development Team, you will be actively involved in the full development lifecycle—spanning ideation, design, development, research presentations, and implementation. The ideal candidate must have strong analytical and communication abilities along with technical proficiency in at least one programming language (Python or R) and SQL. This role is based in Morningstar’s Navi Mumbai office, where you will also work with quantitative-research solutions to support high-quality index methodologies.

Job Details

Θ Positions: Associate Quantitative Analyst

Θ Job Location: Mumbai

Θ Salary: As per company standards

Θ Job Type: Full Time

Θ Requisition ID: REQ-053563

Roles and Responsibilities:

• Contribute to building the next generation of Benchmark Indexes across Equity and Fixed Income asset classes, ensuring alignment with data-driven investment models used for index development.
• Validate, curate, and analyze underlying datasets to support the methodology design of Benchmark Indexes.
• Collaborate with Morningstar’s research divisions—including equity, quantitative, sustainability, and product teams—to develop thematic and smart beta indexes leveraging Morningstar IP.
• Participate in the complete product lifecycle from ideation and design to development and launch.
• Work closely with cross-functional index teams to operationalize and refine index methodologies.

Required Skills & Qualifications:

• Bachelor’s degree in quantitative, engineering, mathematics, or statistics disciplines.
• Strong proficiency in at least one programming language (Python or R).
• Experience working with large and complex datasets using Postgres or SQL Server.
• Understanding of basic financial ratios, modern portfolio theory, and portfolio construction (preferred, not mandatory).
• Excellent written documentation habits and strong verbal communication skills, including the ability to simplify complex concepts.

How to Apply

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