Quantitative Developer

Morningstar; Navi Mumbai, Gurugram District; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Morningstar is seeking a Quantitative Developer in Mumbai/Delhi to join the Systematic Strategies team. You will build scalable data infrastructure for portfolio models, ingest diverse datasets, and work with researchers and PMs to deploy investment strategies.

The role blends data engineering, cloud architecture, and financial systems, with emphasis on production workflows and AI-enabled analytics.

Qualifications

• Strong Python and Spark skills for large-scale data processing.
• Experience with cloud data platforms and data ingestion from vendors.
• Familiarity with financial data platforms and portfolio analytics is a plus.

Responsibilities

• Design and maintain scalable data pipelines for market and fundamental datasets.
• Collaborate with researchers and PMs to improve production workflows.
• Automate data retrieval from internal and external providers and enable AI-enabled analytics.

Skills

Python

PySpark

Distributed data processing

Airflow

EMR

AWS Step Functions

Docker

Git

CI/CD

Terraform

CloudFormation

SQL

Parquet

AI agents

FactSet/Bloomberg/Morningstar data

Education

Bachelor’s or Master’s in engineering/CS/finance/math/statistics

Tools

FactSet

Bloomberg

Morningstar

Compustat

Axioma

MSCI Barra

Bloomberg PORT

Job description

Role: Quantitative Developer

Location: Mumbai/ Delhi (4 days working from office)

Shift: UK Shift (Afternoon Shift) (2:00pm to 11:00pm)

The Area The Research & Investment group is a global team guided by Morningstars investment principles focused on delivering great long-term investment results to help end-investors reach their financial goals. We use our expertise in asset allocation, investment selection and portfolio construction to create world-class investment strategies leveraging the full resources of Morningstar. The group specializes in multi-asset investing, using building blocks in equities, fixed income and alternative investments to construct robust portfolios. Through our investment offerings, we serve financial advisers and institutions, and the investors that they serve.

Role Summary:

The Quantitative Developer will join the Systematic Strategies team in the Research & Investment group. This experienced professional will build scalable research infrastructure used by portfolio managers and quantitative researchers to develop, back test, and deploy multi asset models.
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 investment strategies.
This role is ideal for someone who thrives at the intersection of data engineering, cloud architecture, and financial systems.

Key Responsibilities:

The successful candidate will

• Design and maintain scalable data pipelines for market, fundamental, and alternative datasets using Python, PySpark, FastAPI and AWS
• 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

Requirements:

• Strong expertise in Python, PySpark, and distributed data processing
• Experience with Airflow, EMR, AWS Step Functions, Docker, Git, CI/CD, Terraform, and CloudFormation
• Strong SQL skills and experience with Redshit, Athena, DataLake and Parquet
• Experience of building AI agents & agentic workflow is desirable and will be considered a strong plus
• Experience with handling financial data from vendors such as FactSet, Bloomberg, Morningstar, or Compustat
• Exposure to portfolio analytics, risk modelling, performance attribution, and platforms such as Axioma, MSCI Barra, Bloomberg PORT, or similar solutions

Required Technical Skills

• Advanced SQL, Python and PySpark
• Experience with creating Data Pipelines
• Exposure to cloud-based services, AWS (preferred)
• Exposure to AI-powered productivity and development tools such as ChatGPT, Microsoft Copilot, and GitHub Copilot

Preferred Qualifications

• Bachelor’s or master’s degree in engineering, Computer Science, Finance, Mathematics, Statistics, or a related quantitative discipline
• 2+ years of experience in Quantitative Engineering, Data Engineering, or Platform Engineering within investment management or financial services

Morningstar is an equal opportunity employer.