9 Investment Data Jobs

Hiring: Python & Risk Data Engineering Specialist | ERM / Investment Risk Location: Hyderabad, India Experience: 7+ Years Employment Type: Full-Time Role Overview We are looking for an experienced Python & Data Engineering professional to support Enterprise Risk Management (ERM) and Investment Risk initiatives. This role involves close collaboration with quantitative teams, business stakeholders, and technical teams to design, build, and maintain risk analytics platforms and data pipelines. Key Responsibilities • Perform requirements gathering, technical design, and solutioning • Design and support technical architecture for ERM initiatives • Build and enhance risk model development platform...

As a Client Delivery Associate (Onboarding) at Landytech, you play a crucial role in guiding clients through the initial onboarding phase. Your responsibilities include ensuring prompt responses to client inquiries, assisting in data feed setup, maintaining client accountability, and proactively identifying and resolving potential delays in the onboarding process. Your communication, organizational, and problem-solving skills, along with a foundational knowledge of investment data and technology, are essential for success in this role. Key Responsibilities: - Manage onboarding and data feed setup inboxes, ensuring timely responses and escalating delays when necessary. - Assist clients in col...

Job Summary: ? The Technical Data Analyst is responsible for maintaining investment data for clients. This role involves tasks such as analyzing and organizing raw data, building data systems and pipelines, conducting complex data analysis, and presenting information through data visualization techniques. Additionally, the analyst collaborates with clients and project management teams to grasp customer and company needs. This role requires the ability to merge data from various sources and present it in alignment with customer/company requirements, while also striving to improve data quality and reliability. Responsibilities: ? Utilize your analytical expertise to decipher and organize raw d...

Role Overview: You will be joining the Managed Investment Data Team as a Data Consultant in the alternative sector at Morningstar. Your main responsibility will be to drive Morningstar funds data coverage by collaborating with global and local teams, maintaining relationships with asset managers, and representing the voice of the local market to the central teams. You will act as the primary contact between the centralized data team and asset managers. Key Responsibilities: - Represent and explain Data workflows, processes, and methodologies to asset managers and clients. - Take ownership of acquiring and onboarding new and complex data sets to enhance analytics delivered to clients. - Colla...

As a Technical Data Analyst at our company, your role involves maintaining investment data for clients by analyzing and organizing raw data, building data systems and pipelines, conducting complex data analysis, and presenting information through data visualization techniques. Your collaboration with clients and project management teams is crucial to understand customer and company needs while striving to improve data quality and reliability. Your ability to merge data from various sources and present it in alignment with customer/company requirements is key to your success. **Key Responsibilities:** - Utilize your analytical expertise to decipher and organize raw data, transforming it into ...

Position: Manager- Operations Department: Managed Investment Data (MID) Location: Vashi, Navi Mumbai Shift: UK shift Company: Morningstar is a leading provider of independent investment research in North America, Europe, Australia, and Asia. We offer a wide variety of products and solutions that serve market participants of all kinds, including individual and institutional investors in public and private capital markets, financial advisors, asset managers, retirement plan providers and sponsors, and issuers of securities. Morningstar India has been a Great Place to Work-certified company for the past eight consecutive years. Job Description Manager- Operations will oversee the management of ...

The Investment Reporting Data Product Owner role is instrumental in the creation and execution of a future state data reporting product to enable Regulatory, Client, Vendor, Internal & MI reporting and analytics. The successful candidate will have an in- depth knowledge of all data domains that represent institutional clients , the investment life cycle , regulatory and client reporting data requirements. The role will sit within the ISS Delivery Data Analysis chapter and fully aligned with our cross functional ISS Data Programme in Technology, and the candidate will leverage their extensive industry knowledge to build a future state platform in collaboration with Business Architecture, Data...

The role of a Data Consultant at the Managed Investment Data Team involves driving Morningstar funds data coverage in the alternative sector. This position requires collaborating with both global and local teams, managing relationships with asset managers and industry actors, showcasing capabilities and quality, and providing feedback from the local market to the central teams. The Data Consultant acts as the primary liaison between the centralized data team and asset managers. Key responsibilities of the Data Consultant include representing and explaining data workflows, processes, and methodologies to asset managers and clients, owning the acquisition and onboarding of new and complex data...

The Technical Data Analyst role involves maintaining investment data for clients by analyzing and organizing raw data, building data systems and pipelines, conducting complex data analysis, and presenting information through data visualization techniques. You will collaborate with clients and project management teams to understand customer and company needs, merge data from various sources, and present it in alignment with requirements while striving to enhance data quality and reliability. Your responsibilities will include utilizing analytical expertise to decipher and organize raw data, building efficient data systems and pipelines, conducting thorough analysis on complex data sets, deliv...