Quantitative Developer

Morningstar; Mumbai City; Hybrid; INR 1,500,000 - 2,800,000; Full time

Benefits offered by this job

Hybrid work model

Global collaboration tools

Job summary

Morningstar in Mumbai/Delhi is seeking a Quantitative Developer to join the Systematic Strategies team within the Research & Investment group. You will build scalable data pipelines, ingest market and fundamental data, and collaborate with researchers and PMs to back test and deploy multi-asset models.

The role blends data engineering, cloud architecture, and financial systems. You will work in a UK-friendly afternoon shift from 2:00pm to 11:00pm, with four days in office, contributing to

Qualifications

• Proven experience building scalable data pipelines for market, fundamental and alternative datasets.
• Exposure to distributed data processing and cloud-based development.
• Experience with internal/external data vendors (FactSet, Bloomberg, Morningstar) and portfolio analytics tools.

Responsibilities

• 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 providers such as FactSet, Morningstar, Axioma, and others
• Collaborate with researchers and PMs to improve production workflows
• Automate operational processes via CI/CD, IaC, and workflow orchestration
• Work with streaming data services for real-time ingestion and processing
• Explore AI/ML and Generative AI to enhance analytics and efficiency

Skills

Python

PySpark

SQL

Airflow

AWS

Docker

Terraform

CloudFormation

Git

CI/CD

Data Pipelines

AI agents

Education

Bachelor’s or Master’s in Engineering/CS

Quantitative discipline (Math/Statistics)

Tools

Redshift

Athena

DataLake

Parquet

FactSet

Bloomberg

Morningstar

Axioma

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 Morningstar’s investment principles focused on delivering great long-term investment results to help end-investors reach their financial goals. We use ourexpertisein asset allocation, investmentselectionand portfolio construction to create world-class investment strategiesleveragingthe full resources of Morningstar. The group specializes in multi-asset investing, using building blocks in equities, fixedincomeand alternative investments to construct robust portfolios.Through our investment offerings, we serve financial advisers and institutions, and the investors that they serve.

Role Summary

TheQuantitative Developer will join theSystematicStrategiesteamin 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 withRedshit, Athena,DataLake and Parquet
• Experienceof building AI agents& agentic workflowis 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.

Morningstar’s hybrid work environment gives you the opportunity to collaborate in‑person each week as we’ve found that we’re at our best when we’re purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office 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.