Quantitative Developer

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

Role: Quantitative Developer Location: Mumbai/ Delhi (4 days working from office) Shift: UK Shift (Afternoon Shift) (2:00pm/2:30pm to 11:00pm/11:30pm)

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.

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.

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.

Company overview Morningstar 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.