2023 Internal Audit - Data Analytics Full-Time Analyst Program (New York)
Full Time Analysts join us for a two-and-a-half year program in Data Analytics that provides broad exposure to different coverage areas and teams, while developing an understanding of firm processes, products and systems; audit principles; and a range of audit activities
Training Program:
- An intensive hands-on introduction to Internal Audit at Morgan Stanley
- Broad exposure to various functions across Internal Audit, as well as in-depth exposure to a specific coverage area (e.g., compliance, equities)
- A comprehensive development program that includes:
- A two-day Firmwide orientation, focused on basic industry knowledge and professional skills
- Internal Audit-specific training focused on internal audit fundamentals and Morgan Stanley's audit methodology
- Senior management speaker seminars and networking events, including peer mentorship and community service opportunities
Responsibilites:
- Develop a working knowledge of business terminology and basic auditing standards
- Participate in business management and team meetings to gain an understanding of the business units’ data under review
- Develop and maintain reusable audit tools
- Implement data manipulation and data mining concepts to draw logical inferences and conclusions from data
- Learn about cutting edge data analytics techniques using SQL, Python and Tableau
- Communicate analysis results to key stakeholders within Internal Audit
Responsibilities may vary according to your coverage area.
Qualifications and Skills:
- Data Analytics: You are pursuing a Master’s degree or MBA in Information Technology, Statistics, Information Security or Risk Management, with a focus on data or business analytics
- Minimum cumulative GPA of 3.0
- Strong technical and analytical skills, creative problem-solving skills and a drive to bring innovative ideas and solutions
- Working knowledge of database and table structures, statistical and analytics techniques and business intelligence tools (e.g., SQL, Python, clustering, regression, machine learning and unstructured data analysis)
- Graduate between December 2022 and May 2023, and have less than one year of full-time professional experience
- This role requires that all successful applicants be fully vaccinated against COVID-19 as a condition of employment and provide proof of such vaccinations within 3 days of commencement of employment.
Application Process & Deadline:
Students must apply on www.morganstanley.com/careers by September 19, 2022 in order to be considered.
Expected base pay rate(s) for the role will be $72,500 per year at the commencement of employment. However, base pay is only part of the total compensation package, which, depending on the position, may also include discretionary bonuses and other Morgan Stanley sponsored benefit programs.
This Program is closed to applications.