Internal Audit Associate - Data Analyst

Position Overview

Are you a meticulous and detail-oriented individual with a passion for data analysis? Do you have a knack for identifying patterns and trends within complex datasets? We have an exciting opportunity for you as an Internal Audit Associate - Data Analyst at Morgan Stanley. In this role, you will play a crucial role in ensuring the accuracy and integrity of our financial data through audits and analysis. We are seeking a skilled and driven individual with a strong background in data analysis, excellent communication skills, and a keen eye for detail. Join our dynamic team and help us maintain the highest standards of financial compliance. Morgan Stanley is an Equal Opportunity Employer.

Key Responsibilities

• Conduct thorough and accurate data analysis to identify patterns and trends within complex datasets.
• Perform audits on financial data to ensure accuracy and integrity.
• Communicate findings and recommendations to relevant stakeholders.
• Collaborate with team members to develop and implement data analysis strategies.
• Utilize various data analysis tools and techniques to extract and manipulate data.
• Identify and troubleshoot data quality issues.
• Monitor and track financial compliance standards.
• Stay up-to-date with industry regulations and best practices.
• Develop and maintain data analysis documentation and reports.
• Participate in training and development opportunities to enhance data analysis skills.
• Contribute to the continuous improvement of data analysis processes and procedures.
• Communicate effectively with team members and stakeholders to ensure data analysis objectives are met.
• Maintain confidentiality and security of sensitive financial data.
• Adhere to company policies and procedures, as well as industry regulations.
• Take ownership of assigned tasks and ensure timely completion.
• Proactively identify areas for improvement and suggest solutions.
• Assist in the preparation of data for external audits.
• Collaborate with other departments to resolve data discrepancies.
• Provide support and assistance to other team members as needed.
• Represent the company and its values in a professional and ethical manner.