Validation Lead in Budapest, Hungary |

In the Human Resources division, we provide advice and insight to attract, retain, reward and develop a talented global workforce, giving employees the support and tools they need to succeed. Since 1935, Morgan Stanley is known as a global leader in financial services, continuously evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. Human Resources Internship Program During this internship you will have a chance to gain insight into the Human Resources function at a leading financial services firm. You will join as a Data Governance and Centralized Testing / AI Model Validation or Compensation Intern and can work in a flexible work arrangement, 20-40 hours per week, with an expected start date in June 2026. We offer a supportive and vibrant multinational environment in an inspiring international team, where you can experience a collaborative culture and continuous development opportunities. You can participate in the Firms networking events and you will have the opportunity to extend your internship, or you may take a full-time offer upon graduation. Roles and Responsibilities: As a Data Governance and Centralized Testing / AI Model Validation Intern: Support workforce and talent reporting processes and analytics efforts Take part in testing and implementing innovative AI technologies Collaborate with data owners to develop comprehensive data governance and quality control frameworks Work alongside a global squad of data and analytics experts, operating in a collaborative environment to problem solve and iteratively deliver products As a Compensation Intern: Support year-end compensation processes Create year-end analysis and reports Assist with data auditing activities to ensure that quality information is provided Collaborate with the global Compensation team, HR Business Partners and other stakeholders Support the rewards project team to further enhance the global Compensation Management System Aid in creating system documentation and materials facilitating the training session coordination Requirements: Ongoing Bachelor or Master studies Graduation in June 2027 Fluency in English, both verbal and written Confident Excel knowledge (experience with any BI tools, data transformations or scripting language is a plus) An analytic mindset: high attention to detail A collaborative nature and team-orientation A hunger to learn and grow (both of yourself and of your team) The ease of interacting with team members virtually 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. What you can expect from Morgan Stanley: We have a track record of innovation and passion for unlocking new opportunities, we help our clients raise, manage and allocate capital. We do this by offering a wide range of investment banking, securities, wealth management and asset management services. All that we do at Morgan Stanley is driven by our five core values: do the right thing, put clients first, lead with exceptional ideas, commit to diversity and inclusion, and give back. These arent just beliefs, they guide the decisions we make every day, ensuring we do what's best for our clients, communities and more than 80,000 employees around the world. And at the core of our success are the people who drive it - relentless collaborators and creative thinkers who are fuelled by diverse thinking and experiences. Wherever you are in our 1,200 global offices, youll have the opportunity to work alongside the best and the brightest in an environment where you are empowered to achieve your full potential. 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. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Computer-Occupations

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