About The Position

We're seeking a future team member for the role of Data Management and Quantitative Analysis to join our Information not provided in the provided context team. This role is located in Houston, Texas. In this role, you'll make an impact in the following ways: Manage a large team of data management and/or quantitative analysis professionals who prepare data sets and conduct statistical, financial and econometric modeling for internal or external clients. Manage data management and/or quantitative analysis activities for the assigned area and ensure business requirements are executed as expected. Provide insights and ideas for improving processes, implement improvements, and oversee the implementation of new data-related technology enhancements and implementations. Ensure day-to-day service quality is aligned with client service level agreements, manage data vendor relationships, and support client and business needs documentation, reporting, and analyses.

Requirements

  • Bachelor's degree or the equivalent combination of education and experience is required.
  • 5-7 years of total work experience with at least 0-1 years in management preferred.
  • Demonstrated experience managing staff, coordinating resources, and completing performance management activities.
  • Strong analytical, problem-solving, and communication skills with the ability to translate technical concepts for non-technical audiences and present to senior leaders.

Nice To Haves

  • Experience in financial services preferred.

Responsibilities

  • Manage a large team of data management and/or quantitative analysis professionals who prepare data sets and conduct statistical, financial and econometric modeling for internal or external clients.
  • Manage data management and/or quantitative analysis activities for the assigned area and ensure business requirements are executed as expected.
  • Provide insights and ideas for improving processes, implement improvements, and oversee the implementation of new data-related technology enhancements and implementations.
  • Ensure day-to-day service quality is aligned with client service level agreements, manage data vendor relationships, and support client and business needs documentation, reporting, and analyses.
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