Aum Reporting Associate

Overview

• Support strategic financial decisions through accurate and timely AUM reporting, ensuring data integrity and compliance.
• Collaborate with cross-functional teams to enhance data quality and streamline reporting workflows.
• Leverage advanced tools and automation technologies to optimize reporting processes and improve efficiency.
• Participate in system upgrades, testing phases, and user acceptance activities to ensure seamless transitions.
• Document procedures and maintain compliance with established data governance standards.
• Engage in audits and regulatory tasks related to AUM data, ensuring accuracy and adherence to regulations.
• Develop expertise in AUM definitions, methodologies, and data sources to support strategic initiatives.
• Contribute to special projects aimed at enhancing financial reporting and operational efficiency.

Key Responsibilities & Duties

• Execute comprehensive AUM reporting processes across multiple reporting cycles, ensuring accuracy and timeliness.
• Prepare detailed reporting packages for internal and external stakeholders, providing actionable insights.
• Utilize advanced tools to enhance data validation, reporting accuracy, and workflow efficiency.
• Collaborate with technology teams to refine systems and workflows for improved reporting processes.
• Implement process improvements to ensure reporting accuracy and operational excellence.
• Communicate effectively with stakeholders to ensure alignment and satisfaction with reporting outcomes.
• Support cross-functional initiatives aimed at enhancing AUM data processes and organizational efficiency.
• Provide insightful analysis to support client and business needs, driving impactful decision-making.

Job Requirements

• Bachelor’s degree in Accounting, Finance, Data Analytics, or a related field is required.
• Minimum of 3 years of experience in financial reporting or data analysis; 6 years preferred.
• Proficiency in Excel, PowerPoint, and analytics tools such as Tableau or Alteryx.
• Experience with AI-enabled tools for process optimization and efficiency improvements.
• Strong analytical skills and attention to detail to ensure data accuracy and reliability.
• Ability to manage multiple priorities effectively in dynamic and fast-paced environments.
• Excellent communication skills for collaboration across diverse teams and stakeholders.
• Commitment to continuous improvement and innovative problem-solving in reporting processes.