Requirement:
- Programming Skills: Intermediate proficiency in programming languages - Python and SQL.
- Statistical Expertise: Basic knowledge of statistical methods lie variance, standard deviation, hypothesis testing and regerssion.
- Cloud Technology: Strong skills in Experience with cloud-based environments (AWS).
- Quantitative Finance: Understanding of financial instruments, market data, and the use of quantitative methods in portfolio management and risk analysis.
- Automation: Experience in developing and implementing automated data validation processes, including real-time monitoring and alert systems.
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.
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