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Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services.
We are currently looking for Quantitative Developers for our Budapest office
This role will be a member of the Human Resources Analytics team, providing insights into the Firm's talent through data science, data analysis, visualizations, and storytelling with data. The right candidate will have a strong interest in social sciences and experience in data science areas.
- Develop and implement models, strategies and analytics tools that will be used to drive trading decisions - Develop and implement valuation and risk models and tools for securities that are currently on the books or about to be purchased or bid on - Monitor and analyze the effectiveness of valuation and risk models and enact new developments as needed - Write model documentation and contribute to the model certification process - Acquire business knowledge in Equity, Credit or Interest Rate derivatives, Mortgage Backed Securities or other asset classes - Work with traders, quantitative strategists, controllers, IT and other departments - Be open to learn and apply new technologies and programming languages
About the team: Embedded Desk Strategist (Strat) teams reside within our Sales & Trading businesses including Equity, Fixed Income, and Commodities as well as our Banking businesses including Investment Banking and Global Capital Markets.
The Modeling team and other project based teams such as Core Analytics and Core Electronic Trading provide quantitative solutions to multiple businesses.
The Market Modeling Team supports the Firm's securities trading business by creating and implementing mathematical models, software tools and libraries, and by providing quantitative business analysis to develop financial products, trading strategies and risk reduction methodologies. Our analytics tools are used to price, valuate and manage the risks of various financial derivative products and predict the future evolution of different markets. Our activity requires close coordination with the firm's higher management, IT developers, operations team, traders, controllers, and other global quantitative units.
Staff typically has background in mathematics, physics, engineering, finance or economic sciences, computer sciences, informatics or other similar quantitative areas. Many of them possess a PhD or are close to earn the degree in the near future. The Market Modeling Team supports different businesses from Equity derivatives to Credit and Interest Rate derivatives and Mortgage Backed Securities.
- B.Sc., M.Sc. or Ph.D. in mathematical finance, mathematics, physics, statistics, engineering, computer science, informatics or similar quantitative area - Confident command of English
- Genuine interest in finance, mathematics and technology - Programming experience in Matlab, C++, Java, C#, Q, Perl, Python or other programming languages - Experience with databases is an advantage - Flexibility to adjust to changing priorities
- Sensitivity to details, accuracy in everyday work
Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximise 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. 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. Learn about our culture and the opportunities for professional growth at Morgan Stanley Budapest: Build a career with impact. Visit https://www.morganstanley.com/about-us/global-offices/europe-middle-east-africa/hungary morganstanley.hu for more information.