Quantitative Analyst

6 Months ago • 1-3 Years • Finance

Job Summary

Job Description

Quantitative Analyst with 1-3 years of experience in quant finance, mutual fund analysis, asset allocation, or portfolio construction. Strong understanding of financial modeling, statistical methods, and Python programming. Experience with cloud-based applications is a plus.
Must have:
  • Quant Finance
  • Portfolio Construction
  • Asset Allocation
  • Python Programming
Good to have:
  • Financial Modeling
  • Statistical Methods
  • Cloud Applications
  • Equity Research
Perks:
  • Hybrid Work
  • Global Collaboration

Job Details

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.

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