Position: Senior Quantitative Analyst - New Product Development - Morningstar Indexes
The Area: Morningstar Indexes Team leverages its expertise in equity research, manager research, asset allocation, and portfolio construction to create innovative investment solutions. We use Morningstar's intellectual property to create indexes that empower investors to achieve their goals at every stage of the investment process - market monitoring, benchmarking, and asset allocation. Morningstar Indexes offers a broad suite of global equity, bond, commodity and asset allocation indexes.
The Role: As a part of the New Product Development Team, you will participate in the full development cycle including ideation, design, development, presentations to global research team and clients, leading up to implementation. A fast-growing dynamic set-up offers opportunity to handle multiple projects, work with diverse and skilled team members and provide opportunities to fast track your career development. You will have a good grasp of investment concepts, possess strong analytical skills, good communication skills and will be technically proficient with at least one programming language (Python, R or MATLAB) in addition to SQL. This position is based in our Navi Mumbai office.
Responsibilities:
- Build innovative index solutions through rigorous investment research, and own it through full product development lifecycle from ideation, design, development, and validation, leading up to launch
- Collaborate effectively with the broader Morningstar research organization including equity, quantitative, manager or sustainability research teams, and product management to develop novel thematic and smart beta indexes that leverage Morningstar IP
- Promote integration of team throughput and operational processes with other index teams to facilitate growth of our product and methodology suite
- Help develop new tools and capabilities to perform portfolio construction or analytics independently, including the use of statistical and machine learning techniques
- Publish white papers, factsheets, client presentations, and other collateral to support go-to-market plans
Requirements:
- At least 3 years of experience in a quantitative or financial domain such as equity research, credit research, investment management, risk management, or analytics
- Bachelor's degree in quantitative, financial discipline, or engineering, MBA/Masters degree is helpful
- CFA charter or candidature (at least passed Level II) is desirable
- Knowledge of investment concepts, modern portfolio theory, and portfolio construction processes.
- Proficiency in at least one programming language (Python, Matlab, R or C#)
- Excellent documentation habits, oral and written communication and presentation skills including ability to distil complex ideas into simple explanations
Morningstar is an equal opportunity employer.
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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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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.