Morgan Stanley is seeking a talented quantitative analyst for its Scenario Analytics team in Budapest. The role involves developing and maintaining macroeconomic scenario models for risk assessment, capital planning, and stress testing. Ideal candidates will have strong quantitative skills, coding abilities, and a deep interest in financial markets and economic analysis.
This role involves participating in critical scenario design processes for regulatory and internal stress testing frameworks, developing and implementing macroeconomic prediction methodologies and models. The analyst will perform econometric analyses, conduct backtests, stress tests, and sensitivity studies while collaborating with global teams to develop and support production infrastructure within an Agile framework.
The ideal candidate must have a degree in a quantitative field such as Finance, Economics, Mathematics, Mathematical Finance, Physics, or Engineering. Strong code development skills, particularly in Python, are essential. The role requires a reliable, precise, and detail-oriented approach with clear thinking, good business sense, and excellent interpersonal and communication skills.
Morgan Stanley offers a compelling work environment with flexible working arrangements, including core hours and work-from-home opportunities. The company provides an inclusive and welcoming workplace, competitive compensation, and various employee benefits. The organization is committed to diversity and creating an environment where individuals can maximize their potential, offering opportunities for professional growth and development in a truly international and multi-cultural setting.
