Morgan Stanley offers a quantitative finance developer internship in Budapest for students in technical disciplines, focusing on building financial models, applying machine learning techniques, and working in a supportive international environment.
Morgan Stanley's quantitative finance internship involves building complex financial models using statistical techniques and Monte Carlo simulations to calculate asset prices and risks, implementing automated trading strategies, and developing web applications to monitor market movements.
Candidates must be pursuing a BSc, MSc, or PhD in technical disciplines like Computer Science, Mathematics, Physics, Engineering, or Economics, with hands-on programming experience in languages like Python, C++, or Java, and strong mathematical skills.
The internship offers a supportive multinational environment, continuous development opportunities, networking events, potential internship extension or full-time offer, flexible working arrangements, and the chance to work on high-impact projects with international teams in New York and London.
