Posted:3 months ago|
Platform:
Work from Office
Full Time
Represent fund day-to-day data collection processes and issues, and work with Data Scientists to identify potential areas for improvement where Machine Learning models can be applied for better process efficiency and data quality. Facilitate applying of Machine Learning models in data collection processes to support business growth. Contribute to AI-enhanced data collection activities and future data flow discussions as a domain expert. Partner with Data Scientists to build/tune the Machine Learning models, monitor the performance of ML models, and analyze ML results. Work closely with global data collection teams across various functions to achieve the desired outcome Build maintain the documentation on ML models. Diagnose data issues in daily processes, identify root causes, and relay the issue to Data Scientists if necessary. Formulate and refine data annotation scheme and annotate training data. Requirements: Current role of Senior Data Research Analyst (SDRA) Applicant should be AI/ML Practitioner program certified. Proven ability to articulate the problem statement and business requirements for building ML models. Understand Morningstar data collections processes and the methodologies for collecting those data points. Advanced Excel and SQL skills are required, basics of Python and regex is preferred. Proven ability to automate data collection, tasks/reports by using excel macros, SQL queries or data automation projects, is a plus. Good English verbal/written communication skills. Good people and project management skills. Self-motivated, detail-oriented, and organized. Bachelor/master s degree in finance/business/mathematics with an exceptional academic record or other professional certificates like PMP and/or CFA is valued.
Morningstar
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