Quantitative Research Manager

Mumbai

Morningstar

Morningstar is an investment research company offering mutual fund, ETF, and stock analysis, ratings, and data, and portfolio tools. Discover actionable insights today.

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Job Description

The Group:

Morningstar, Inc.’s mission is to empower investor success. We were founded on the simple idea that when people have good investment information, they make better choices that lead to better outcomes.

Within Morningstar Investment Management, LLC, the Retirement group offers a range of retirement solutions, including managed accounts, custom models, and advice service by acting in a fiduciary capacity or as an independent financial expert, as defined by ERISA: IFE, 3(28), or 3(21) capacities. The flagship product is our Morningstar Retirement Manager which provide personalized advice on how much to save for retirement, a saving strategy, and builds portfolios for individual investors. The Retirement team consists of the investment management team, the research team, the Advice Engines team, the operations team, and the Workplace client services team. The goal of these teams is to work together to build and maintain well-diversified fund portfolios while helping our clients to understand our portfolio construction process.


The Role:

Morningstar Investment Management seeks a Quantitative Research Manager for our Retirement group. The person will oversee the Mumbai based team of quantitative analysts and data scientists. The ideal candidate will blend people leadership/management skills, quantitative techniques, cloud technology and operational know how. As our Retirement business grows, the successful candidate will be able to work efficiently to meet the evolving needs of our clients for different service levels and service level agreements. The position is based in our Mumbai office but will require weekly calls with our international teams as well as periodic international travel.


Key Responsibilities:

  • Manage, mentor and coach a team of quantitative analysts. Manage the team’s workload and drive accountability for quality and timeliness.
  • Create optimal organizational structure and manage staff to achieve goals including finding, mentoring, and maintaining best in class team members to support our ability to scale, and to maximize our capabilities to deliver customer focused solutions.
  • Serve as an internal and external expert on quantitative techniques, analytics, prototyping, and tool building.
  • Own tools and processes that support the Managed Accounts business. Generate new ideas and create proposals to take on additional responsibilities.
  • Communicate project goals and status updates internally and externally, and act as key investment resource on an ongoing basis.
  • Create a metrics and reporting framework for key processes including key KPIs. Perform regular reporting to global stakeholders.
  • Identify and work with Advice research, technology, and clients to resolve investment methodology issues.
  • Lead in using the rapidly evolving Gen AI based approaches to innovate and improve our solutions

Requirements:

  • 5 to 10 years of quantitative experience with emphasis data science, cloud technology, software development within the financial services industry.
  • Excellent people management skills.
  • Bachelor’s degree in quantitative field like engineering, computer science, or statistics. MBA and/or CFA designation is a plus.
  • Excellent writing and communication skills.
  • Advanced coding skills preferably in Python. Should be comfortable with cloud technology
  • Excellent time management skills, attention to detail, and a knack for number crunching and problem solving are desired.

Morningstar is an equal opportunity employer.

I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity


If you receive and accept an offer from us, we require that personal and any related investments be disclosed confidentiality to our Compliance team (days vary by region). These investments will be reviewed to ensure they meet Code of Ethics requirements. If any conflicts of interest are identified, then you will be required to liquidate those holdings immediately. In addition, dependent on your department and location of work certain employee accounts must be held with an approved broker (for example all, U.S. employee accounts). If this applies and your account(s) are not with an approved broker, you will be required to move your holdings to an approved broker.

Morningstar’s hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. While some positions are available as fully remote, we’ve found that we’re at our best when we’re purposely together on a regular basis, typically 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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Tags: Computer Science Engineering Generative AI KPIs Prototyping Python Research Statistics

Regions: Remote/Anywhere Asia/Pacific
Country: India

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