Quantitative Analyst, Media Data Service

Posted 3 Days Ago
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Navi Mumbai, Thane, Maharashtra
Hybrid
Entry level
Enterprise Web • Fintech • Financial Services
Empowering Investor Success
The Role
Support journalists by extracting, cleaning, and transforming investment data using Excel, SQL, and Python; build Jupyter notebooks and templates; provide ad-hoc training; collaborate with communications and internal teams to produce and distribute data-driven stories and maintain best-practice documentation.
Summary Generated by Built In
Title: Quantitative Analyst, Media
Working Hours: UK Shift
Location: Vashi, Navi Mumbai
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.
Morningstar India has been a Great Place to Work-certified company for the past ten consecutive years.
The Team: As a key part of Morningstar's Global MID organization, the Media Data Service team supports journalists worldwide by delivering accurate, timely, and context‑rich investment data. The team is responsible for interpreting media data requests, identifying the most suitable datasets within Morningstar Direct and other internal databases, performing analytical transformations to ensure insights are meaningful, accurate, and aligned with market trends.
In addition to reactive support, the team provides proactive data-driven storytelling by curating relevant content and distributing it to global media partners. The team also plays a central role in training journalists on the effective use of Morningstar Direct, partnering with cross-functional groups to stay aligned on methodological updates, and documenting best practices to ensure consistent, high-quality delivery across markets.
The Role:
The ideal candidate brings strong financial‑market fundamentals across mutual funds, equities, fixed income and alternatives combined with quantitative mindset and a habit of closely tracking global news, regulatory changes, and major economic events to contextualize data effectively.
This role requires exceptional interpersonal and communication skills, as the candidate will work closely with journalists and external partners to deliver data within tight deadlines. As a key external‑facing position, it plays a vital role in elevating Morningstar's public profile and fostering long‑term relationships with the financial press.
Responsibilities:
  • Engage with journalists to understand their data needs, interpret requests, and determine the most appropriate datasets using Morningstar Direct and other internal databases.
  • Extract, clean, and transform data primarily using Excel to create clear, accurate outputs and validate whether trends align with market movements.
  • Provide ad-hoc training sessions and guidance to journalists on how to navigate and use Morningstar Direct effectively for their own research.
  • Collaborate closely with Morningstar's Corporate Communications team to develop & distribute data‑driven insights ("data pitches") to media outlets, supporting wider Morningstar storytelling and brand visibility.
  • Develop deep expertise in key investment topics including equities, fixed income, mutual funds, and ETFs as well as Morningstar's proprietary methodologies.
  • Partner with internal data, research, and product teams to stay aligned on methodology changes, new datasets, and platform enhancements.
  • Build and maintain Jupyter notebooks and Excel-based calculation templates to streamline and automate repetitive analytical tasks.
  • Document and update best practices to ensure consistent processes, high‑quality outputs, and operational excellence across global workflows.

Requirements:
  • Bachelor's degree in financial discipline
  • Progress towards CFA Level I preferred
  • Preferably experienced in data journalism, investment research, or quantitative roles ideally with a focus on client-facing communication
  • Excellent written and verbal communication skills
  • Advanced proficiency in MS Excel, including macros and VBA
  • Experience coding in SQL and Python is preferred.
  • Strong organizational skills with the ability to manage multiple tasks simultaneously under tight deadlines
  • Ability to work both independently and collaboratively with minimal supervision
  • Good to have: Familiarity with Morningstar Direct, experience with European markets is a plus

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

Top Skills

Ms Excel,Vba,Sql,Python,Jupyter Notebooks,Morningstar Direct

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The Company
HQ: Chicago, IL
12,700 Employees
Year Founded: 1984

What We Do

At Morningstar, we believe in building great products in-house in a highly collaborative, agile environment where we focus on technical excellence, the user experience, and continuous improvement. Our technologists represent a range of skills and experience levels, but they all view their work as a craft and push technology’s boundaries.

Why Work With Us

Imagining big things is in our blood -- it's transformed us from a company with just a few employees in 1984 to a leading independent investment research company with a worldwide presence today. As of April 2020, we acquired Sustainalytics to drive long-term meaningful outcomes for investors in the ESG space. Join us on this exciting journey!

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Employees engage in a combination of remote and on-site work.

Typical time on-site: 3 days a week
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