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Lead a full-stack software engineering team to build scalable solutions for investors and financial advisors at Morningstar, focusing on architectural decisions, technical initiatives, and collaboration with cross-functional teams. Emphasize Agile practices, DevOps, and mentor team members to achieve high product quality.
The Senior Software Engineer will support the Morningstar Wealth Platform by managing defect resolutions, monitoring system performance, and collaborating with teams to ensure the platform’s reliability. Responsibilities include troubleshooting, automating processes, and participating in Agile ceremonies to enhance the overall customer experience and maintain high-performance systems.
The Senior QA Automation Engineer will design and implement automation frameworks for UI and API testing, collaborate with teams, mentor junior engineers, and ensure the quality of financial applications in an Agile environment.
As a Senior Software Engineer at Morningstar, you will enhance financial advisor workflows by developing scalable applications, mentoring junior developers, and collaborating in Agile teams. Responsibilities include troubleshooting performance issues, designing innovative features, maintaining technical documentation, and ensuring engineering best practices.
The Product Owner will lead the Trade Optimisation team by managing the backlog, automating manual trading processes, and improving platform efficiency. The role requires collaboration with cross-functional teams and a focus on product metrics and stakeholder engagement.
The Data Scientist at PitchBook will leverage machine learning and cloud technologies to research private markets and improve platform navigability. Key responsibilities include data analysis, model development, and optimization, along with enhancing decision-making through insights derived from data.
The Machine Learning Engineer will develop features and services using Python to apply NLP and ML for data analysis, enabling better insights into private markets. Responsibilities include collaborating with other teams, analyzing unstructured data, and staying current with industry advancements in data science and machine learning.
The Senior Data Analyst will source, validate, and maintain market data and corporate actions for Morningstar Indexes. Responsibilities include ensuring data quality for index development, managing client-specific requirements, and driving process improvements. The role requires a good understanding of market data and excellent Excel skills.
The Senior Machine Learning Engineer at PitchBook will utilize machine learning and NLP to analyze large volumes of data, extract insights, and improve search capabilities on the PitchBook Platform. They will also mentor junior team members and collaborate with various stakeholders to automate data processes and enhance overall data management.
As a Lead Quantitative Analyst, you will manage a team of Quant Analysts to enhance data analysis processes, develop technical infrastructures for fintech solutions, and provide technical guidance. Responsibilities include mentoring team members, managing priorities, and collaborating on data transformation and application development.
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