EMEA Data Analytics Lead - Audit, Manager
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries.
As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.
Internal Audit is responsible for validating whether the Firm operates in a controlled environment with appropriate risk management processes. Auditors evaluate the adequacy and effectiveness of the Firm's internal controls using a risk based methodology developed from professional auditing standards. Internal Audit assists in monitoring the Firm's compliance with internal guidelines set for risk management and risk monitoring, as well as external rules and regulations governing the industry. The team reports directly to the Board Audit Committee and helps verify whether the Firm meets all of its fiduciary responsibilities to shareholders, while adhering to corporate-governance standards and legal and regulatory requirements.
Morgan Stanley is seeking a strong Data Analytics Lead to support audits for the EMEA region as well as Global Institutional Securities Group (ISG) audits. The candidate will be the primary point of contact in EMEA for performing data analysis to evaluate the effectiveness of controls and also drive broader usage of analytics in audit planning, fieldwork, reporting, and risk assessments.
The Data Analytics Lead for EMEA will manage multiple audit assignments, help determine the scope of analytics work, and drive the completion of the testing by coordinating with technology teams and audit colleagues. Candidate must have strong communications skills, project management skills and be comfortable working on unstructured assignments where scope is not always defined upfront. In addition, the candidate should demonstrate the ability to understand complex technology infrastructure as it relates to data flows and business processes.
• Experience in a data analytics or technology role with hands-on experience using data to answer business questions and draw meaningful insights
• Understanding of financial markets, products and processes and be able to work with large volumes of data from multiple sources
• SQL skills and knowledge of data extraction and manipulation techniques including the ability to stage and import large volumes of data
• Strong communication and project management skills as well as the ability to thrive in a fast paced, multiple deliverables, team-oriented environment
• Working knowledge of tools for data analysis, including R, Python, or business intelligence products such as Qlikview, Tableau, etc
Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximise their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing and advancing individuals based on their skills and talents.