The Role
Position: Senior Quantitative Developer - Systematic Strategies
Location: Navi Mumbai or Delhi
Shift: UK
The Role: As a Senior Quantitative Engineer, you will design, implement, and maintain the data and systems architecture that powers Morningstar's Systematic Strategies portfolios.For this you are expected to work closely with portfolio managers, researchers, and developers to help build, scale, and optimize the infrastructure that powers quantitative research and investment management.
You should understand the nuances of the data and prepare it for ingestion, and your daily work with researchers and portfolio managers will facilitate the research, design, and deployment of quantitative strategies.
This role is ideal for someone who thrives at the intersection of data engineering, cloud architecture, and financial systems. Data and Research are the key pillars for the role that require strong technical skills and comfort with cloud technology.
Responsibilities:
Requirements:
Good to have Skills:
Morningstar is an equal opportunity employer.
Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office 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.
I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity
Location: Navi Mumbai or Delhi
Shift: UK
The Role: As a Senior Quantitative Engineer, you will design, implement, and maintain the data and systems architecture that powers Morningstar's Systematic Strategies portfolios.For this you are expected to work closely with portfolio managers, researchers, and developers to help build, scale, and optimize the infrastructure that powers quantitative research and investment management.
You should understand the nuances of the data and prepare it for ingestion, and your daily work with researchers and portfolio managers will facilitate the research, design, and deployment of quantitative strategies.
This role is ideal for someone who thrives at the intersection of data engineering, cloud architecture, and financial systems. Data and Research are the key pillars for the role that require strong technical skills and comfort with cloud technology.
Responsibilities:
- Design and maintain scalable data pipelines for financial and alternative datasets using PySpark and AWS
- Architect and manage cloud infrastructure (AWS EMR, S3, Glue, Lambda, ECS) to support quant research and production
- Collaborate with quantitative researchers and portfolio managers to operationalize data workflows and support model deployment
- Develop and support interactive dashboards and internal tools to visualize pipeline health, system performance, and data quality metrics for quant teams
- Build and maintain tools and platforms for backtesting, simulation, and analytics.
- Optimize systems for performance, reliability, and cost-efficiency across compute and storage resources
- Implement data governance, quality, and lineage processes for high-integrity research environments
- Automate operational workflows and ensure CI/CD for quant systems
Requirements:
- Bachelor's or Masters' degree in a quantitative, financial discipline, or engineering.
- 5+ years of experience in a Quant Engineer / Data Engineer / Platform Engineer role in an investment data handling team
- Expertise in Python, with strong knowledge of PySpark and distributed data processing
- Hands-on experience with AWS services (EMR, S3, Glue, Lambda, ECS, CloudWatch)
- Familiarity with market data feeds and financial datasets like FactSet, Bloomberg, Compustat
- Strong understanding of data architecture, storage formats (Parquet, Delta), and Spark performance tuning
- Proficiency in developing interactive dashboards using tools like Tableau/PowerBI/Quicksight to monitor Portfolio performance
- Experience with orchestration tools like Step function/Airflow and containerization using Docker
- Comfortable working in Agile teams with Git, CI/CD, and infrastructure-as-code (Terraform, CloudFormation)
- Knowledge of SQL and distributed query engines (e.g., Athena)
- Exposure with Axioma or equivalent portfolio risk and optimization platforms (e.g., MSCI Barra, Bloomberg PORT, PyPortfolioOpt) to support risk modeling, portfolio construction, and performance attribution workflows
- Knowledge in the domains of Agile Methodology, Machine Learning, and Optimization is a plus
Good to have Skills:
- Strong understanding of Financial Reports like Returns/Factor Attribution/Risk metrices
- Exposure to financial markets or quant research environments.
- Familiarity with cost optimization strategies in cloud environments.
- Experience with real-time data ingestion frameworks (e.g., Kafka, Kinesis)
Morningstar is an equal opportunity employer.
Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office 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.
I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity
What the Team is Saying
Anna
Team Lead of Software Engineering
Upasna
Software Engineer, Data Collections - AI R&D
Saurabh
Senior Software Engineer
Wendell
Head of Sales, Institutional Equity Research
Raaghavendar
Associate Software Engineer
Jeff
Head of Technology and Product
Brandon
Senior Video and Media Production Manager
Kunal Kapoor
CEO
Elizabeth Collins
Chief Strategy Officer
Marie Trzupek Lynch
Chief People Officer
Rod Diefendorf
President and Chief Operating Officer
Christine
Director of Personal Finance and Retirement Planning
Morningstar Compensation & Benefits Highlights
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Leave & Time Off Breadth — A recurring paid sabbatical and flexible time off in North America provide substantial time away and are presented as a signature differentiator. The program’s active use alongside paid volunteer days underscores broad time-off options.
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Parental & Family Support — A global standard for paid parental leave plus paid caregiving leave and adoption assistance signals robust family support. These policies are positioned as company-wide standards with location-specific administration.
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Equity Value & Accessibility — A shared ownership program enables converting part of a bonus into RSUs with a company match, adding long‑term value beyond salary. Performance-based RSU awards can further enhance equity outcomes for high achievers.
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The Company
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
