Risk Analytics – Quantitative Developer
Employer · Morgan Stanley
Software developer
Financial analyst
MathematicianFlexibleBudapest
As a quantitative developer in the Risk Analytics team, you will have an opportunity to understand how cutting-edge technologies, such as AI/ML, can be leveraged for risk management purposes. The Risk Analytics team has global responsibility to develop and maintain scenario design, credit, market and liquidity models and analytical solutions.
Tasks
- Collaborate and interact with risk managers, model reviewers or other internal and external stakeholders
- Collaborate with teams across the globe
- Design and implement cutting-edge software libraries/APIs, development and execution environments for quantitative model developers and risk managers
- Design AI tools that enhance the efficiency of the Firm's risk management processes and help risk managers to gain new insights
Conditions & benefits
Flexible working arrangementsCore hours and opportunity to work from homeLearning and developmentOpportunity to learn about how quantitative modeling techniques are applied to financial products and marketsInclusive environmentInclusive and welcoming environment
Requirements
- A degree in a quantitative field such as Information Technology, Finance, Economics, Mathematics, Mathematical Finance, Physics or Engineering
- 1-3 years of relevant experience
- Strong software design and development skills in Python
- Proficiency or a strong interest towards software development skills, such as SQL usage and data visualization
- A thorough knowledge of applicable domains of mathematics and statistics is preferred
- An internal drive to challenge and improve models with quantitative methods
- Clear thinking, good business sense and judgment
- Genuine and broad interest in financial markets and derivatives
- Strong interpersonal and communication skills
- Excellent command of English both written and verbal