Technical Financial Markets Advisory Intern - Budapest

As the world's largest asset manager and a leading provider of financial technology, BlackRock's purpose is to help more and more people experience financial well-being. Founded in 1988 and based in New York City, BlackRock operates globally, with more than 70 offices spanning 40 countries, and clients in over 100 countries. They opened their Budapest Innovation Hub in 2017, with the idea that technology and finance go hand-in-hand – something they've believed since their founding. As a firm and together with their clients, they work to create a more equitable and resilient world, today and for generations to come.

• Support large, multi-disciplinary project teams in the day-to-day operations of advisory engagements and learn how to execute projects by creating content, performing quantitative analysis, and providing solutions-based advice
• Assist project teams in the design and implementation of tools to improve process efficiency and automate day-to-day operations across client engagements
• Support the development of tools to analyse extensive structured and unstructured datasets using state of the art technology
• Develop strong analytics and data management skills by using state of the art technology to produce client deliverables and analytical contents

• The position is open for applicants with active or passive student status
• Pursuing a master's degree in Computer Science, Data Science, Business Informatics
• Fluency in written and spoken English is essential
• Knowledge of Python
• High proficiency in Excel
• Knowledge of Office tools (Outlook, Word, etc.)
• Excellent written and verbal communication skills

Working time

• Availability to work at least 25 hours per week according to agreed schedule
• Long-term development opportunity  

What we offer

• 2550 Ft/hour in gross
• Internship confirmation
• Opportunity to partly work from home
• Learning and development opportunities
• Possibility to evolve and gain valuable experience
• Join one of the world's leading asset management firms

• Additional language knowledge (German or French)
• Experience in data science, computer science, machine learning, or a related quantitative field

• Additional language knowledge (German or French)
• Experience in data science, computer science, machine learning, or a related quantitative field