About The Role
In this role, you will participate in the analysis of new feature/content requests and help multifunctional development teams to understand WHAT needs to be done to meet internal and external user’s needs through Morningstar’s next-generation data platform. You will also participate in the design/implementation of models to help with analysis of large datasets. You will be responsible for helping SOLVE the problem through use of up-to-date methods including AI/ML implementation. Finally, you will write documentation to build a deep knowledge base for global client support teams to investigate issues and answer clients’ questions. The ideal candidate will have a passion for data and technology, excellent communication capability, and the ability to develop a strong understanding of Morningstar data and methodologies.
This position is based in our Toronto office. We follow a hybrid policy of 3 days onsite and 2 days remote work.
Job Responsibilities:
- Design and implement models that can analyze large datasets
- Develop and implement statistical, Machine Learning and AI solutions to make systems and processes more efficient
- Execution of both statistical and predictive analysis
- Communicate with internal and external clients, client success teams to understand and clarify business requirement
- Convert business requirements into actionable solutions through detailed analysis such as calculation prototyping, usage analysis, and data mapping/mining/locating in various data sources
- Ability to understand and surface repetitive methodologies to drive uniformity in data (consilience)
- Gathering, cleaning, and processing raw data/data sets
- Analyzing and interpreting unstructured data sets
- Comprehends functional requests from direction of product team and help determine solution validity and/or alternate options
- Leads team discussions to determine MVP for new projects
- Stay abreast of industry trends and advancement in data science, Machine Learning, and AI continuously improving our methodologies and technologies
Qualifications:
- 3+ years of advanced business analysis or data science
- 1-2+ years of experience with Morningstar software and or Data (bonus if in calculated or analytical data sets)
- Self-motivated, excellent work ethic, strong interpersonal and communication skills, ability to work in a team environment
- Excellent problem-solving skills
- Ability to learn quickly and work independently
- Advanced knowledge in data business and methodology of Equity, Fund, and Fixed Income
- Advanced knowledge of SQL, Python – a must have
- Advanced knowledge of Jupyter notebook, Amazon web service
- Intermediate knowledge of Plotly and PowerBI
Morningstar’s hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. We’ve found that we’re at our best when we’re purposely together on a regular basis, at least three days 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.
