- Salary
- $500 – $2k
- Location
- Chicago, United States of America
- Workplace
- Onsite
- Type
- Full-time
- Department
- Engineering
- Seniority
- Entry
- Source
- Workday
Description
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.
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