Quantitative Developer

Morningstar Credit Ratings, LLC; Mumbai; Hybrid; INR 1,800,000 - 2,800,000; Full time

Job summary

Morningstar India Private Ltd. in Mumbai/ Delhi is seeking a highly skilled Quantitative Developer to join the Systematic Strategies team. You will build scalable data pipelines, ingest market and fundamental data, and prepare it for research and deployment of multi-asset models.

The role combines data engineering, cloud architecture, and financial systems. You will collaborate with portfolio managers and researchers to improve production workflows, automate processes, and explore AI-enabled

Qualifications

• Proven experience building scalable data pipelines in Python.
• Knowledge of data ingestion from vendors and market data feeds.
• Background in finance data and multi-asset analytics is a plus.
• Familiarity with AI/ML concepts and experimentation is desirable.

Responsibilities

• Design and maintain scalable data pipelines for market and fundamental data.
• Collaborate with researchers to support multi-asset model deployment.
• Automate workflows with CI/CD and Infrastructure-as-Code practices.
• Work with AWS and cloud-based data platforms and services.

Skills

Python

PySpark

Data pipelines

AWS

Airflow

CI/CD

SQL

Distributed systems

Education

Bachelor's or Master's in Engineering/CS/Math/Finance

Tools

Airflow

EMR

Terraform

CloudFormation

Docker

Git

AWS

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 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

Company overview and Legal Entity

I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity Morningstar is a global independent investment research and financial data company. Here, you'll help uncover what’s hidden, simplify what’s complex, and create insights that empower investor success. Development Program Morningstar is strongly committed to creating and preserving equal opportunity for all employees and applicants. We make all employment decisions—including recruitment, hiring, compensation, training, promotion, transfer, discipline, termination, and other personnel matters—without regard to race, color, ancestry, religion, sex, national origin, age, disability, protected veteran status, marital status, sexual orientation, genetic information, citizenship, gender identity and expression, parental status, or other legally protected characteristics or conduct.

Benefits

• 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.

Equal Opportunity

Morningstar is an equal opportunity employer.

Morningstar is strongly committed to creating and preserving equal opportunity for all employees and applicants. We make all employment decisions—including recruitment, hiring, compensation, training, promotion, transfer, discipline, termination, and other personnel matters—without regard to race, color, ancestry, religion, sex, national origin, age, disability, protected veteran status, marital status, sexual orientation, genetic information, citizenship, gender identity and expression, parental status, or other legally protected characteristics or conduct.