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Morgan Stanley is seeking a Quantitative Developer for its ALM team in Budapest, Hungary. The role involves upgrading simulation models and developing new ones using Python, and candidates should have a strong mathematics and finance background along with Python expertise.
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Job Summary
Upgrade parts of the team’s existing simulation models using Python code, integrating functionality with Morgan Stanley’s pricing system, and also to develop new models as needed.
Work with a Quantitative Analyst who has 15+ years of industry experience developing models for Pension Funds, Insurers & Banks.
Morgan Stanley provides a superior foundation for building a professional career - a place to learn, grow and achieve.
Matching Summary
Match Score: 75
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Morgan Stanley is seeking a Quantitative Developer for its ALM team in Budapest, Hungary. The role involves upgrading simulation models and developing new ones using Python, and candidates should have a strong mathematics and finance background along with Python expertise.
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Skills & Requirements
Must-have
Python development
Python scientific stack
complex code bases
mathematics and finance skills
quantitative methods/probabilistic modelling
Nice-to-have
cross-asset quantitative solutions
regulatory and accounting impacts
collaboration in international environment
Key Requirements
Degree in quantitative area or engineering
Python developer with up-to-date skills
Expertise in core Python with Python scientific stack/ecosystem
Experience structuring and developing complex code bases
Strong mathematics and finance skills
Knowledge and experience working with C++/Delphi is beneficial