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.