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The Associate Data Research Analyst will work with global data teams to ensure high-quality investment data management. Responsibilities include assessing and improving data processes, collaborating with fund companies, managing client relationships, and documenting specifications. The role involves using project management methods to resolve complex data issues and ensure timely updates for internal clients.
Customer Support Representatives provide end-user support via phone, email, and chat in a complete and timely manner. They troubleshoot client issues, manage challenging interactions, and escalate when necessary. The position is based in London, supporting clients of Morningstar. Key responsibilities include continuous process improvement, stakeholder management, and ongoing education. Requirements include excellent French communication skills, proficiency with Windows-based applications, and a Bachelor's degree.
As a Sales Representative, you will focus on generating new business across Morningstar's main product lines, targeting clients in the financial services sector. Responsibilities include exceeding sales targets, collaborating with teams, and engaging with prospects and clients. Qualifications include strong communication skills, previous sales experience, and a bachelor's degree in a related field.
As a Senior QA Engineer, you will ensure product quality in the Data Services team by creating test plans, designing automated tests, executing test cases, and facilitating cross-functional reviews to enhance usability and performance.
The Machine Learning Solutions Architect will develop AI technologies to assess ESG performance, lead ML model development, provide mentorship, define standards, and collaborate with teams to implement production versions of PoCs. Responsibilities include exploring various data types and proposing new ML architectures.
The Tech and Data Specialist will support the technical and data operations of the Sustainable Fixed Income team. Responsibilities include automating processes, building applications, creating data pipelines, performing analysis, and leveraging AI technologies in collaboration with project teams for efficient delivery.
As a QA Manager in the ESG Data Governance team, you will lead a team of QA Engineers to oversee data quality in the Sustainalytics Data Lake. Responsibilities include managing test plans, defect reviews, continuous improvement of processes, and ensuring data quality standards are met through collaboration with various stakeholders.
The role involves building, validating, and reviewing quantitative models that support ratings across various asset classes. Responsibilities include evaluating existing models, implementing them in an industrial-strength language, performing statistical analysis on large datasets, and communicating results to stakeholders. The role also includes mentoring team members.
The Analyst role focuses on assessing credit risk in structured finance securities, involving document review, deal analysis, and cash flow modeling. Responsibilities include preparing rating committee notes, managing databases, and collaborating with operations and technology teams.
The Senior QA Automation Engineer will define and establish automation strategy, develop automation testing frameworks, and manage QA requirements while collaborating with development teams. Responsibilities include participation in planning activities, leading application testing, and integrating CI/CD processes.
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