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Company | Morgan Stanley |
Address | New York, NY, United States |
Employment type | FULL_TIME |
Salary | |
Category | Financial Services,Investment Banking,Investment Management |
Expires | 2023-05-26 |
Posted at | 1 year ago |
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.
- Support exploratory modeling and topics; collect data and conduct test for ad-hoc research requests from different business units across all areas of the Firm
- Stay up-to-date with the latest climate science and sustainable finance trends
- Conduct quantitative analysis on topics related to the physical and economic impacts of climate change, using various state-of-the-art models and datasets
- Conduct comprehensive model validation, diagnosis of modelled results and sensitivity analysis, while documenting and communicating the results in a well-organized way.
- Technically develop and execute novel modeling approaches in climate impact assessments and sustainable investing analytics
- Support documentation of modeling practices for rigorous review processes by internal and external stakeholders
- Integrate and optimize data and code for automation and execution at scale, and actively improve performance of existing modeling systems
- A strong interest and background in pursuing novel approaches in modeling and applying quantitative analysis in climate/sustainability topics in a financial setting
- 1-3 years of work experience. Recent quantitative academic qualification can substitute for experience
- Ability to work effectively as a member of a team or independently
- Undergraduate or Master's degree in Natural Sciences, Mathematics, Statistics, Economics, Finance, Computer Science, Engineering or a similarly quantitative field
- Familiarity with prevalent topics in ESG, such as climate scenario analysis, physical and transition risk, energy and climate policy, damage functions, etc.
- Strong attention to detail with persistence, tenacity, and drive for results
- Strong and efficient research capabilities, including good practices in documentation and academic writing
- Quick learner of new models and methods
- Experience with one or more statistical programming languages (Python and/or R are preferred)
- Comfort juggling multiple priorities; strong organizational and time management skills
- Excellent verbal and written communication skills presenting complex analytical results to both technical and non-technical audiences
- Empirical analysis
- Computable general equilibrium (CGE) models
- Derivation of damage functions
- Geospatial analysis tools and datasets
- Series 7 and 63 licenses
- Integrated Assessment Models
- Environmental externalities
- Earth system models or other climate models
- Emission inventories and calculations
- Experience with ML/AI modeling
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