Lead Quantitative Analyst, New Product Development
Morningstar · Navi Mumbai, Maharashtra, India
- On site
- Full-time
- $150,000 / year
- Navi Mumbai, Maharashtra, India
Job highlights
- Develop innovative investment indexes and solutions.
- Manage index development life cycle from ideation to launch.
- Collaborate with global research and product teams.
- Utilize quantitative and programming skills.
- Communicate complex financial ideas effectively.
About the role
About the Morningstar Indexes Team
The Morningstar Indexes Team leverages expertise in credit research, 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, including market monitoring, benchmarking, and asset allocation. Morningstar Indexes offers a broad suite of global equity, bond, and asset allocation indexes.
Responsibilities
- Develop rules-based benchmark and strategic beta indexes across various sub-asset classes with internal partners and clients.
- Be responsible for the index development life cycle: ideation, data analysis, index design and back-testing, operationalization, and index launch.
- Embrace and enhance a vibrant, high-performing R&D culture that delivers innovative investment solutions through a defined research process.
- Collaborate effectively with the broader Morningstar research organization, including credit ratings, quantitative, manager, or sustainability research teams, and product management to develop novel indexes that leverage Morningstar IP.
- Help develop new tools and capabilities to perform portfolio construction and analytics independently, including the use of statistical and machine learning techniques.
- Provide support for product management, sales & marketing efforts through white papers, client roadshows, and seminars.
Requirements
- At least 4 years of experience at an index provider, asset management company, or investment bank, with demonstrated quantitative investment analysis expertise.
- Prior experience with leading projects independently or guiding research analysts is preferable.
- Bachelor’s degree in a quantitative, financial discipline, or engineering; a CFA, MBA, or graduate degree in a quantitative or financial discipline is helpful.
- Knowledge of institutional investing, modern portfolio theory, and index construction processes.
- Hands-on analytical and quantitative skills. Practical experience with programming and database packages. Proficiency in at least one programming language (Python, Matlab, or R).
- Exposure to the use of AI tools (Microsoft Copilot, GitHub Copilot, Claude Code, Gemini) to speed up data analysis, research, and documentation.
- Ability to work with AI agents to automate simple multi‑step tasks and improve workflow efficiency.
- Ability to communicate effectively with global clients and internally.
- Excellent oral, written communication, and presentation skills, with the ability to distill complex ideas into simple explanations.
- Experience of writing and publishing financial research papers, whitepapers, and articles is an added advantage.
Key skills/competency
- Quantitative Analysis
- Index Development
- Investment Solutions
- Data Analysis
- Back-testing
- Programming (Python, Matlab, R)
- Machine Learning
- Portfolio Construction
- Financial Research
- Client Communication
Skills & topics
- Quantitative Analyst
- Index Provider
- Asset Management
- Investment Banking
- Quantitative Finance
- Python
- Matlab
- R
- Machine Learning
- Portfolio Theory
- AI Tools
- Financial Research
How to get hired
- Tailor your resume: Highlight quantitative analysis, index development, and programming skills.
- Showcase project leadership: Emphasize experience leading projects or guiding research analysts.
- Quantify achievements: Use data to demonstrate impact in previous roles.
- Prepare for technical interviews: Brush up on quantitative finance, portfolio theory, and coding.
- Demonstrate AI proficiency: Mention experience with AI tools for efficiency.
Technical preparation
Master Python, Matlab, or R for data analysis.,Practice index construction and back-testing methods.,Study modern portfolio theory principles.,Familiarize with AI tools for research efficiency.
Behavioral questions
Describe a complex quantitative project you led.,How do you collaborate with diverse teams?,Explain a complex financial concept simply.,How have you used AI in your workflow?
Frequently asked questions
- What are the key responsibilities for a Lead Quantitative Analyst at Morningstar Indexes?
- The Lead Quantitative Analyst at Morningstar Indexes is responsible for developing rules-based indexes, managing the end-to-end index development lifecycle, collaborating with internal research teams, and developing new analytical tools. This role also involves supporting product management and client engagement through various communication channels.
- What programming languages are essential for this Lead Quantitative Analyst role at Morningstar?
- Proficiency in at least one programming language such as Python, Matlab, or R is essential for this role. Experience with programming and database packages is crucial for hands-on analytical and quantitative tasks.
- How does Morningstar incorporate AI into the Lead Quantitative Analyst position?
- Morningstar encourages the use of AI tools like Microsoft Copilot, GitHub Copilot, Claude Code, and Gemini to accelerate data analysis, research, and documentation. Candidates are also expected to work with AI agents to automate tasks and improve workflow efficiency.
- What kind of experience is preferred for the Lead Quantitative Analyst position at Morningstar?
- We prefer candidates with at least 4 years of experience at an index provider, asset management company, or investment bank, demonstrating strong quantitative investment analysis expertise. Prior experience in leading projects independently or guiding research analysts is also a plus.
- What educational background is suitable for the Lead Quantitative Analyst role at Morningstar?
- A Bachelor's degree in a quantitative, financial discipline, or engineering is required. A CFA, MBA, or a graduate degree in a quantitative or financial discipline is considered helpful for this role.
- What is the importance of client communication for a Lead Quantitative Analyst at Morningstar?
- Excellent oral, written communication, and presentation skills are vital. The ability to communicate effectively with global clients and internally, and to distill complex ideas into simple explanations, is a key requirement for this role.
- Does Morningstar offer opportunities for career growth in quantitative analysis?
- Morningstar fosters a vibrant, high-performing R&D culture that encourages innovation. This role is part of the Indexes Team, which creates innovative investment solutions, offering potential for growth within quantitative research and product development.