Senior Quantitative Developer

About 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.

What you'll do

• 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

What you need

• 5–9 yrs of experience
• SQL
• AWS
• Python
• Spark
• Airflow
• Kafka
• Any graduate

Good to have

• Machine learning
• CI/CD
• Bloomberg
• Terraform
• Power BI
• Tableau