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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. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries. As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.
The Bank Resource Management (BRM) division within Morgan Stanley's Institutional Securities Group is concerned with centralized Liability Management. Individual groups within the division are responsible for Counterparty Portfolio Management, Securities Lending, Financing, Balance Sheet and Margin optimization, etc. The BRM Modeling group, being part of the Budapest Market Modeling organization designs and implements financial analytics and quantitative strategies that help various desks within BRM manage and optimize their portfolios.
Background on the team
The BRM Modeling Team in Budapest supports BRM's Counterparty Risk Management, Secured Financing and Securities Lending activities by creating and implementing mathematical models, software tools and solutions, and by providing quantitative business analysis to support the real-time pricing, trading and risk management activities of the Firm, working closely with traders, desk strategists as well as the technology teams. Our analytics tools are used to optimally manage the Firm's resources during the course of its sophisticated Over-the-Counter (OTC) business.
Our activity requires close coordination with the Firm's Desk Strategists, traders, IT developers, senior BRM management, Market Risk Division, financial controllers, and other global quantitative units. Staff typically have background in Quantitative Finance, Economics, Computer Sciences, Informatics, Mathematics, Physics, Engineering or other similar quantitative areas.
We are currently looking for candidates who are willing to work on quantitative challenges and financial analytics of the Firm Financing (Repo) business. To achieve this, the candidate will
Work very closely with traders, desk strategists, controllers, IT and other departments in the Firm
Work on business analytics problems and optimization related to funding requirements of the Firm's derivative portfolio.
Acquire business knowledge in Repo products
Develop and implement valuation and risk models and tools for managing the Firm's overall derivatives and financing portfolio.
Monitor and analyze the effectiveness of valuation and risk models with day-to-day trading
B.Sc or M.Sc. or Ph.D. in quantitative finance, economics, computer science, informatics, mathematics, physics, statistics, engineering or similar quantitative area
Be open to learn and apply new technologies and programming language
Genuine and broad interest in Finance and Banking,
Ability to work in a global team, closely with traders in major centers
Sensitivity to details, accuracy in everyday work
Communication and inter-personal skills
Confident command of English
Flexibility to adjust to changing priorities
Programming experience in any of Python, Perl, Excel/VBA, C++, R, MatLab
Experience with SQL language and basic database concepts is an advantage