Jobs

Interviews
Job Alerts
Tools

Upskill and Grow with AI

Mock Interview Practice interviews in realistic simulations

Coding Practice Improve your coding skills with challenges

Certification Earn certifications to validate your skills

AI Learning Get trained with AI expert sessions

Career Path AI insights for smarter career decisions

AI Job Match Score AI-Powered Job Match Against Your Resume and Optimize Your Resume

Career Tools and Resources

Resume Builder Build Professional Resume with Ease

ATS Friendliness Check Check Resume Friendliness for Applicant Tracking Systems

Auto Apply Apply to hundreds of jobs on any platform effortlessly

Co-Pilot (Chrome Extension) Your AI Assistant for Seamless Browsing Efficiency

Interview Questions Streamline interviews with ready-to-use questions

Salaries Discover market-driven salary insights across skillsets and geographies

Companies Explore leading companies actively hiring talent
For Employers

Jobs

Interviews

Home
>
Jobs in mumbai
>
Morningstar
>
Senior Quantitative Engineer

Senior Quantitative Engineer

Morningstar

5 - 10 years

7 - 12 Lacs

mumbai new delhi

Posted:None| Platform:

Apply

Skills Required

performance tuning simulation quantitative research bloomberg data processing data quality operations analytics sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Position : Senior Quantitative Engineer - Systematic Strategies

Location: Navi Mumbai or Delhi

Shift: UK

The Role: As a Senior Quantitative Engineer, you will design, implement, and maintain the data and systems architecture that powers Morningstar s Systematic Strategies portfolios.For this you are expected to work closely with portfolio managers, researchers, and developers to help build, scale, and optimize the infrastructure that powers quantitative research and investment management.

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 quantitative strategies. This role is ideal for someone who thrives at the intersection of data engineering, cloud architecture, and financial systems. Data and Research are the key pillars for the role that require strong technical skills and comfort with cloud technology.

Responsibilities :

Design and maintain scalable data pipelines for financial and alternative datasets using PySpark and AWS
Architect and manage cloud infrastructure (AWS EMR, S3, Glue, Lambda, ECS) to support quant research and production
Collaborate with quantitative researchers and portfolio managers to operationalize data workflows and support model deployment
Develop and support interactive dashboards and internal tools to visualize pipeline health, system performance, and data quality metrics for quant teams
Build and maintain tools and platforms for backtesting, simulation, and analytics.
Optimize systems for performance, reliability, and cost-efficiency across compute and storage resources
Implement data governance, quality, and lineage processes for high-integrity research environments
Automate operational workflows and ensure CI/CD for quant systems

Requirements :

Bachelor s or Masters degree in a quantitative, financial discipline, or engineering.
5+ years of experience in a Quant Engineer / Data Engineer / Platform Engineer role in an investment data handling team
Expertise in Python, with strong knowledge of PySpark and distributed data processing
Hands-on experience with AWS services (EMR, S3, Glue, Lambda, ECS, CloudWatch)
Familiarity with market data feeds and financial datasets like FactSet, Bloomberg, Compustat
Strong understanding of data architecture, storage formats (Parquet, Delta), and Spark performance tuning
Proficiency in developing interactive dashboards using tools like Tableau/PowerBI/Quicksight to monitor Portfolio performance
Experience with orchestration tools like Step function/Airflow and containerization using Docker
Comfortable working in Agile teams with Git, CI/CD, and infrastructure-as-code (Terraform, CloudFormation)
Knowledge of SQL and distributed query engines (e.g., Athena)
Exposure with Axioma or equivalent portfolio risk and optimization platforms (e.g., MSCI Barra, Bloomberg PORT, PyPortfolioOpt) to support risk modeling, portfolio construction, and performance attribution workflows
Knowledge in the domains of Agile Methodology, Machine Learning, and Optimization is a plus

Good to have Skills:

Strong understanding of Financial Reports like Returns/Factor Attribution/Risk metrices
Exposure to financial markets or quant research environments.
Familiarity with cost optimization strategies in cloud environments.
Experience with real-time data ingestion frameworks (e.g., Kafka, Kinesis)

More Jobs at Morningstar

Associate Content Researcher

Navi Mumbai, Maharashtra

Experience: Not specified

Salary: Not disclosed

Principal Data Scientist

Navi Mumbai, Maharashtra

Experience: Not specified

Salary: Not disclosed

Database Administrator

Navi Mumbai, Maharashtra

3 - 5 yrs

Salary: Not disclosed

Team Lead

Mumbai

7 - 9 yrs

INR 12 - 13 Lacs

Compliance Associate

Navi Mumbai, Maharashtra

Experience: Not specified

Salary: Not disclosed

Mock Interview

Practice Video Interview with JobPe AI

Start Python Interview

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.

Job Application AI Bot

Apply to 20+ Portals in one click

Download Now

Download the Mobile App

Instantly access job listings, apply easily, and track applications.

Enhance Your Python Skills

Practice Python coding challenges to boost your skills

Start Practicing Python Now

Morningstar

Financial Services

Chicago IL

Login to

Please Verify Your Phone or Email

Confirm Action

Search

Profile

Upskill and Grow with AI

Senior Quantitative Engineer