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Quantitative Developer
Morningstar
Mumbai, IND
Full-time
Entry
Hybrid
Discovered 1 weeks ago
PythonPySparkDistributed data processingSQLData pipeline developmentApache Airflow
Free
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PythonPySparkDistributed data processing
Role Overview
The Quantitative Developer will join Morningstar’s Systematic Strategies team within the Research & Investment group.
The role builds scalable research infrastructure used by portfolio managers and quantitative researchers to develop, back-test, and deploy multi-asset models.
The work combines data engineering, cloud architecture, and financial systems.
Key Skills for This Role
PythonPySparkDistributed data processingSQLData pipeline developmentApache Airflow
Full Job Posting
Role overview
The Quantitative Developer will join Morningstar’s Systematic Strategies team within the Research & Investment group.
The role builds scalable research infrastructure used by portfolio managers and quantitative researchers to develop, back-test, and deploy multi-asset models.
The work combines data engineering, cloud architecture, and financial systems.
Key responsibilities
- Design and maintain scalable pipelines for market, fundamental, and alternative datasets using Python, PySpark, FastAPI, and AWS.
- Build and support investment data platforms, databases, and research datasets.
- Automate data retrieval from providers including FactSet, Morningstar, and Axioma.
- Collaborate with quantitative researchers and portfolio managers to enhance production workflows.
- Automate operational processes through orchestration, CI/CD, and infrastructure-as-code.
- Evaluate AI, machine learning, and generative AI technologies for analytics and operational efficiency.
Technical requirements
- Strong expertise in Python, PySpark, and distributed data processing.
- Experience with Airflow, EMR, AWS Step Functions, Docker, Git, CI/CD, Terraform, and CloudFormation.
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