Morningstar’s Analytics builds the data and quantitative models behind products that investors rely on. Our analysts and researchers are strong in Python, SQL and finance. We’re looking for an engineer who brings complementary strengths in cloud infrastructure, automation and production systems. You’ll work side by side with them to turn research into reliable, scalable, customer-facing analytics.
You’ll start on our Risk Analytics suite, supporting and improving the production pipelines that compute risk metrics for our clients. You’ll join the team’s on-call rotation, which is the fastest way to learn how large-scale financial analytics run in production. Over time, you’ll take on more design and build work.
Responsibilities:
- Build and maintain cloud infrastructure on AWS using infrastructure as code (e.g., Terraform)
- Monitor, troubleshoot and improve production data pipelines, and take part in an on-call rotation
- Partner with analysts and researchers to productionize their models and calculations
- Develop CI/CD pipelines, automated tests and deployment tooling
- Improve observability, data quality checks and documentation across our systems
- Hands-on exposure to AWS (e.g., S3, Lambda, ECS, IAM, Step Functions) through work, internships or projects
- Experience with infrastructure as code, ideally Terraform
- Proficiency in Python and SQL, with good engineering habits: version control, testing, code review and writing maintainable code
- Familiarity with CI/CD practices and tooling
- Strong communication and collaboration skills. You’ll work daily with analysts, so explaining technical ideas clearly and listening well are essential.
- A real interest in quantitative finance and in how analytics drive investment decisions
- Bachelor’s degree in computer science, engineering, mathematics or a related field, or equivalent experience
Qualifications:
- Experience with modern data platforms (e.g., Spark, Presto/Trino/Athena, data lakes or lakehouses)
- Comfort with quantitative work: descriptive statistics, plus basic knowledge of linear algebra and calculus as applied to things like returns, volatility, correlation and regression
- Finance coursework or knowledge of markets, investment types, risk measures or performance attribution
- Experience with containers (Docker) or monitoring and alerting tools
Compensation and Benefits
At Morningstar we believe people are at their best when they are at their healthiest. That’s why we champion your wellness through a wide range of programs that support all stages of your personal and professional life. Here are some examples of the offerings we provide:
Financial Health
100% 401k match up to 6% of salary
Stock Ownership Potential
Company provided life insurance - 1x salary + commission
Physical Health
Comprehensive health benefits (medical/dental/vision) including potential premium discounts and company-provided HSA contributions (up to $500-$2,000 annually) for specific plans and coverages
Additional medical Wellness Incentives - up to $300-$600 annual
Company-provided long- and short-term disability insurance
Emotional Health
Trust-Based Time Off
6-week Paid Sabbatical Program
6-Week Paid Family Caregiving Leave
Competitive 8-24 Week Paid Parental Leave
Adoption Assistance
Leadership Coaching & Formal Mentorship Opportunities
Annual Flex Stipend - $1000 annually to cover personal education & well-being expenses
Tuition Reimbursement
Social Health
Charitable Matching Gifts program
Dollars for Doers volunteer program
Paid volunteering days
15+ Employee Resource & Affinity Groups
Total Cash Compensation Range
$72,950.00-107,000.00Inclusive of annual base salary and target incentive
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.
001_MstarInc Morningstar Inc. Legal EntitySkills Required
- Hands-on exposure to AWS through work, internships, or projects, including services such as S3, Lambda, ECS, IAM, or Step Functions
- Experience with infrastructure as code, ideally Terraform
- Proficiency in Python and SQL
- Experience with version control, testing, code review, and maintainable code practices
- Familiarity with CI/CD practices and tooling
- Strong communication and collaboration skills
- Interest in quantitative finance and investment analytics
- Bachelor’s degree in computer science, engineering, mathematics, or a related field, or equivalent experience
- Experience with modern data platforms such as Spark, Presto, Trino, Athena, data lakes, or lakehouses
- Comfort with descriptive statistics and basic linear algebra and calculus applied to financial analytics
- Finance coursework or knowledge of markets, investment types, risk measures, or performance attribution
- Experience with containers such as Docker or monitoring and alerting tools
What the Team is Saying
Morningstar Compensation & Benefits Highlights
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Retirement Support — Employer 401(k) matching and access to Morningstar retirement‑planning tools are prominent features of the package. These elements create a strong foundation for long‑term savings.
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Leave & Time Off Breadth — Flexible time off, paid holidays, sick and personal days, and a paid sabbatical every four years provide generous time away from work. Sabbaticals are specifically highlighted as a standout perk.
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Parental & Family Support — A global minimum of 16 weeks for primary caregivers, up to eight weeks for secondary caregivers, and at least six weeks of paid caregiving leave offer robust family support. Some materials also note adoption assistance and related resources.
Morningstar Insights
What We Do
We are a global investment research and financial data company with 40-plus offices across North America, Europe, Australia, and Asia. Our products and services are used daily by individual investors, financial advisors, asset managers, retirement plan providers, and institutional investors. We provide data, research, and analysis across managed investment products, publicly listed companies, private capital markets, debt securities, and real-time global market data. The financial system can have real barriers—hidden information, friction that can slow decisions, and forces that can limit transparency and access. We work to remove them, bringing independent research, connected data, and investor-first tools to a system that needs more clarity. The people doing this work span research, technology, design, product, sales, and functional areas. We build many of our products in-house, so the work can connect directly to the tools investors use to make real financial decisions.
Why Work With Us
Morningstar’s missing is to empower investor success. We can only do that if our people feel empowered. That means finding people who think independently, bring a wide range of backgrounds with analytical rigor and genuine intellectual curiosity to the work.
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Morningstar Teams
Morningstar Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Across most of our offices globally, employees work four days a week in the office and one day from home. We recognize that life doesn't always fit a fixed schedule and offer programs that can help provided increased workplace flexibility.
