Career Opportunities

Morgan Stanleys Wealth Management Division helps people, businesses and institutions build, preserve, and manage wealth so they can pursue their financial goals. Wealth Managements ADs organization is at the forefront in empowering our business to deliver first class investment advice and decision making at scale by utilizing data, analytical tools and rich content to drive innovation in an increasingly competitive landscape. During your internship you will have the opportunity to join one of our many teams requiring diverse skillsets from Business Analysis, Project Coordination and Communication to in-depth Data Analysis and Machine Learning. You will be able to work in a flexible work arrangement, 25-30 hours per week. We offer: A supportive and vibrant multinational environment in an inspiring international team that brings ideas, innovation, and passion to life through business and data analysis Work directly with senior management from various business units Continuous development opportunities and training tools The ability to grow and shape your own career and work on real business problems Opportunity to participate in the firms networking events You will: Partner extensively with other teams and business partners within and outside the department (such as marketing, product owners, data science and data visualization teams) to deliver business solutions and support decision making Perform tasks related to data querying, reporting and machine learning to provide analytics and insight for various business initiatives and projects Utilize proactive problem-solving and innovative thinking to address challenges Prepare and deliver presentations to highlight important metrics and showcase achievements Create, implement, and manage survey initiatives with primary focus on programming surveys, data collection and synthetization Dive into massive datasets to uncover trends, patterns and insights to support development of machine learning models that drive real business results You have: Ongoing University study in Economics, Statistics, Maths, Physics, Business Informatics, or similar fields Interest in the financial sector Advanced English, both written and spoken Advanced Microsoft Office skills particularly Excel and PowerPoint Analytical, critical thinking, good organizational and problem-solving skills and special attention to details You might also have: An understanding of agile project management concepts and tools Understanding of Machine Learning core algorithms in classification, regression, segmentation. Experience utilizing digital tools, survey platforms (Qualtrics, Medallia, Confirmit, Adobe Analytics, Power BI, Google Analytics, etc.) Experience with SQL, SPSS, R, DataIku Familiarity with visualization tools such as Tableau Application process: If you are interested in the above opportunity, please apply here by submitting your English CV. Applications are reviewed on a rolling basis. We encourage you to apply as soon as you are ready. About us: Morgan Stanley is a global financial services firm and a market leader in investment banking, securities, investment management and wealth management services. At Morgan Stanley Budapest, we are shaping the future of our global business and contributing to our local community. Our team works across numerous areas, including Technology, Mathematical Modelling, Finance, Risk Management, Operations and Data & Analytics from our new state-of-the-art offices near the Danube and our City Gate office in the heart of the city centre. Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more. 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.