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2026 Wealth Management Internship Program (Budapest)

Company

Morgan Stanley

Location

Budapest, Budapest

Type

Morgan Stanleys Wealth Management (WM) Division helps people, businesses and institutions build, preserve, and manage wealth so they can pursue their financial goals. The WM Risk organization is responsible for overseeing the risk and control framework within the WM business unit. During this internship you will have the opportunity to gain insights into how different risk functions can help the business. You will join one of our teams in Wealth Management covering risks from many different angle (model risk, credit risk, risks related to data, etc). You will be able to work in a flexible work arrangement, 20-40 hours per week. We offer: A supportive and vibrant multinational environment in an inspiring international team Collaborative culture, continuous development opportunities and training tools Opportunity to participate in the Firms networking events The ability to grow and shape your own career while working on problems closely related to business Internship extension / Full-time offer upon graduation You will: Partner extensively with other teams within and outside the department Perform tasks related to data querying and reporting 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 If you are interested in more quantitative work: potentially perform econometric analyses to support methodology development, conduct sensitivity studies, assess the model behaviour and stability, and perform back tests on pricing or risk models used by Morgan Stanley You have: Ongoing studies (BSc, MSc) in Mathematics, Physics, Computer Science, Data Science, Economics, Business or similar disciplines Solid technology or quantitative background with good analytical and numerical skills Interest in the financial sector Fluency in English, both written and verbal Hands-on experience with SQL, R, Python or DataIku 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. 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 maximize 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.

Morgan Stanleys Wealth Management (WM) Division helps people, businesses and institutions build, preserve, and manage wealth so they can pursue their financial goals. The WM Risk organization is responsible for overseeing the risk and control framework within the WM business unit. During this internship you will have the opportunity to gain insights into how different risk functions can help the business. You will join one of our teams in Wealth Management covering risks from many different angle (model risk, credit risk, risks related to data, etc). You will be able to work in a flexible work arrangement, 20-40 hours per week. We offer: A supportive and vibrant multinational environment in an inspiring international team Collaborative culture, continuous development opportunities and training tools Opportunity to participate in the Firms networking events The ability to grow and shape your own career while working on problems closely related to business Internship extension / Full-tim...

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