Quantitative Analyst

Posted 6 Days Ago
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Navi Mumbai, Thane, Maharashtra
Hybrid
1-3 Years Experience
Enterprise Web • Fintech • Financial Services
The Role
As a Quantitative Analyst, you will develop quantitative models and conduct research for investment management. Responsibilities include enhancing existing models, publishing research on asset allocation and risk, building frameworks, and participating in client discussions.
Summary Generated by Built In

The Role: As a Quantitative Analyst, you will work in a team dedicated to researching data intensive products for investment management industry. Most of the research is integrated to Morningstar's core products (Direct, Advisor Workstation etc.) and teams such as Morningstar Investment Management, Morningstar Indexes, Morning Credit Ratings, Pitchbook, Sustainalytics etc.
The ideal candidate will blend financial knowledge, investment and portfolio construction expertise, Quant Modeling skills and operational know how. This position reports to the Manager of Quantitative Research, Mumbai.
Responsibilities:
Support methodology development, Quant Model builds & enhancements for core Quant products as Risk Model, Asset Flows Forecast, Quant Ratings, Portfolio Construction, etc.
Drive independent research, publish research papers in asset allocation analysis, portfolio optimization, risk model, ESG, fund flows etc. using principles of modern portfolio theory, statistics.
Leverage new structured and unstructured datasets to build new Quant frameworks that would help investors in informed decision making.
Participate in client conversations for understanding ongoing investor issues, alongside increasing reach of Morningstar Quant offerings.
Requirements:• 1 to 3 years of investment/quant research experience with emphasis on quant finance, mutual fund analysis, asset allocation, and/or portfolio construction.• CFA, FRM, CQF or postgraduate degree in finance, economics, mathematics, statistics is preferable..• Understanding of both business and technical requirements, and the ability to serve as a conduit between product, research, technology, and external clients.• Candidates with equity research experience, well-versed in valuation models, including DCF, are preferred. The candidate should be open to learning and coding in Python.• Experience developing Financial Engineering/ Statistical applications on cloud (AWS) preferable but not mandatory
Morningstar is an equal opportunity employer.
I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity
Morningstar's hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. We've found that we're at our best when we're purposely together on a regular basis, at least three days 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.

Top Skills

Python

What the Team is Saying

Raaghavendar
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The Company
HQ: Chicago, IL
12,700 Employees
Hybrid Workplace
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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Morningstar Offices

Hybrid Workspace

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

Typical time on-site: 3 days a week
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