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The Software Engineering Team Lead will manage a team of developers, ensuring effective implementation, delivery, and improvement of digital products. This role involves collaboration with product managers and software architects, overseeing coding standards, and leading development through various stages using Agile methodology.
The Lead QA Automation Engineer will collaborate with the digital products team to ensure that products meet usability and quality standards. Responsibilities include developing automation strategies, executing automated testing scripts, clear communication of defects, risk analysis, mentoring team members, and staying updated with testing tools.
The Manager role involves overseeing a large team, conducting recruitment, coordinating training sessions, and ensuring efficiency in operations. The position requires tracking performance metrics, providing mentorship, and driving process improvement initiatives. Additionally, the manager serves as a key point of communication for team members and collaborates with various stakeholders on automation and ML opportunities.
As a QA Automation Engineer, you will work with the digital products team to ensure high usability and quality standards for products. You will participate in the product lifecycle, create automated testing strategies, execute test scripts, manage defect reports, and mentor team members while staying updated with testing tools and practices.
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 role involves sourcing, validating, and maintaining financial data for index portfolios, managing corporate actions, and ensuring data integrity across databases. Responsibilities include UAT of system improvements, creating data dictionaries, and driving process improvements while managing data according to client requirements.
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.
The Data Project and Training Specialist will oversee project management practices across the Managed Investment Data team, drive standardization of methodologies, mentor junior members, and lead talent development initiatives. This role requires collaboration with various teams to implement key data projects, ensuring timely and high-quality outcomes.
The Implementation Consultant will engage with clients to implement Morningstar's financial advice software, focusing on technical solutions using the Microsoft Power Platform. Responsibilities include data migration, CRM management, project management, client onboarding, and training clients on the software to enhance their use and understanding of the system.
The Engineering Manager will lead AI and ML initiatives focused on data collection, ensuring high standards in reliability and performance of data systems. Key responsibilities include mentoring engineers, managing complex challenges, overseeing the lifecycle of AI/ML data systems, and collaborating with cross-departmental teams to support global initiatives.
As a Quantitative Analyst on the New Product Development Team, you will engage in the full development cycle of investment indexes, including ideation, design, and implementation. The role requires collaboration with various research teams, development of portfolio tools, and publication of supporting materials such as white papers and presentations.
The Analyst role in the FIG team involves supporting global analytical teams by assisting in credit analysis, research, financial modeling, and preparing credit reports. Responsibilities include monitoring industry news, maintaining financial data, and ensuring compliance with regulations.
The Manager Research Analyst will research and assess fund strategies in India, write research reports for investors, conduct fund manager interviews, and contribute to Morningstar publications. The role requires strong analytical skills and communication abilities within an interdisciplinary team.
