Quantitative Developer: Data Platforms & AI

Morningstar Credit Ratings, LLC; Hinoba-an; Hybrid; PHP 597,000 - 995,000; Full time

Job summary

Morningstar India Private Ltd in Mumbai/Delhi (4 days in office) invites a Quantitative Developer to join the Systematic Strategies team within Research & Investment. You will build scalable data pipelines and collaborate with portfolio managers to deploy multi-asset models.

The role blends data engineering, cloud architecture, and financial systems, with hands-on work on Python, PySpark, Airflow, AWS, and AI-enabled analytics.

Qualifications

• Strong expertise in Python, PySpark, and distributed data processing.
• Experience with Airflow, EMR, AWS Step Functions, Docker, Git, CI/CD, Terraform, and CloudFormation.
• Experience with handling financial data from vendors (FactSet, Bloomberg, Morningstar, or Compustat).

Responsibilities

• Design and maintain scalable data pipelines for market, fundamental, and alternative datasets.
• Build and support investment data platforms, maintain databases and research datasets.
• Integrate and automate data retrieval from internal/external providers such as FactSet, Morningstar, Axioma, and other third-party sources.
• Collaborate with quantitative researchers and portfolio managers to support enhancement of production workflows.
• Automate operational processes through workflow orchestration, CI/CD, and Infrastructure-as-Code practices.
• Exposure to streaming data services and event-driven architectures used for real-time data ingestion, processing, and distribution.
• Evaluate and leverage AI/ML and Generative AI technologies to enhance analytics and operational efficiency.

Skills

Python

PySpark

Distributed data processing

SQL

Airflow

CI/CD

Education

Bachelor's/Master's in a quantitative field

Tools

Airflow

EMR

AWS Step Functions

Docker

Git

Terraform

CloudFormation

Redshift

Athena

Parquet

DataLake

FactSet

Bloomberg

Morningstar

Axioma

MSCI Barra

Job description

Morningstar India Private Ltd in Mumbai/Delhi (4 days in office) invites a Quantitative Developer to join the Systematic Strategies team within Research & Investment. You will build scalable data pipelines and collaborate with portfolio managers to deploy multi-asset models.

The role blends data engineering, cloud architecture, and financial systems, with hands-on work on Python, PySpark, Airflow, AWS, and AI-enabled analytics.