Internal Audit Associate - Data Analyst at Morgan Stanley in Baltimore, MD

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Job Description

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 We're seeking someone to join our team as an Associate to work alongside the Data Analytics lead to develop analytics, dashboards and insights within specific coverage area of Internal Audit.
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 The Internal Audit Division (IAD) drives attention and resources to vulnerabilities by providing an independent and well-informed view and impactful messages about the most important risks facing our Firm. This is accomplished by performing a range of assurance activities to independently assess the quality and effectiveness of Morgan Stanley's system of internal control, including risk management and governance systems and processes. IAD serves as an objective and independent function within the Firm's risk management framework to foster continual improvement of risk management processes. This is an Associate level position within Technical Specialist function, which is responsible for providing extensive subject matter expertise and reinforcing the ability of business and technology audit teams to appropriately assess risk and determine and execute coverage.
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 At Morgan Stanley Baltimore, we support the Firm&rsquo;s global Technology, Operations, Risk Management, Legal and Compliance, Internal Audit and Finance divisions. Morgan Stanley has been rooted in the Baltimore community since 2003. Our talented and diverse team is one of the largest in the U.S. outside of our New York headquarters and home to industry leading cybersecurity innovation with multiple patents and awards. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. There&rsquo;s ample opportunity to move across the businesses for those who show passion and grit in their work.
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  Location
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 : Baltimore, MD (Hybrid, 3x per week in office)
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 Interested in joining a team that's eager to create, innovate and make an impact on the world? Read on...
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  What You'll Do In The Role
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   Work with the Data Analytics lead and other stakeholders to establish project objectives and define detailed requirements including, business rules and data acquisition needs
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   Analyze large, complex data sets to identify trends, patterns and produce compelling insights
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   Develop processes and scripts to Extract, Transform and Load (ETL) data
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   Perform ongoing dashboard maintenance, including conducting data quality reviews
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   Collaborate with stakeholders to develop user-friendly dashboards and visualizations
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   Collaborate with a wide range of internal stakeholders to build effective working relationships and to execute on team deliverables
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   Effectively manage multiple deliverables while delivering high-quality work
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  What You'll Bring To The Role
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   2+ years' of relevant experience; experience in related field of audit analytics in a professional services or global banking and capital markets firm preferred
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   Ability to communicate clearly and concisely and adapt messages to a global audience
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   Ability to identify patterns, correlations and anomalies in data with guidance
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   A commitment to practicing inclusive behaviors
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   Willingness to solicit and provide feedback to further develop self and peers
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   Working understanding of data protection and data sensitivity rules and best practices
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   Extensive experience utilizing visualization tools like Tableau and PowerBI to deliver insights
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   Experience using SQL, Python, R etc. to create complex queries for extracting and analyzing dataTechnical knowledge of data models and database design
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   Ability to translate complex technical data concepts and language into business context and vice versa
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   4-year college degree in a technical discipline (e.g., Information Technology, Computing, Mathematics, Statistics, Finance, Economics or related fields)
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   Certifications in Tableau, CISA, CISSP, Python, etc. preferred
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  What You Can Expect From Morgan Stanley
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 We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 85 years. At our foundation are five core values: putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back that guide our more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you will find trusted colleagues, committed mentors and a culture that values diverse perspectives, individual intellect and cross-collaboration. We Firm is differentiated by the caliber of our diverse team. While our company culture and commitment to inclusion define our legacy and shape our future, helping to strengthen our business and bring value to clients around the world. Learn more about how we put this commitment to action: morganstanley.com/diversity. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry.
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 Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.
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 It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.
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 Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).
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  Posting Date
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 Jul 18, 2024
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  Primary Location
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 Americas-United States of America-Maryland-Baltimore
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  Education Level
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 Bachelor's Degree
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  Other
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  Employment Type
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 Full Time
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  Job Level
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 Associate
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