Senior Quantitative Engineer

Position : Senior Quantitative Engineer - 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 :

• 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 :

Good to have Skills :

Morningstar is an equal opportunity employer.

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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Skills Required

S3, Airflow, Pyspark, Kafka, Tableau, Lambda, Kinesis, Terraform, Docker, Python, Aws, axioma , Cloudformation, Emr, Sql, Git, Cloudwatch, Powerbi, Quicksight, glue , ECS