About the Job
Department Profile: Morgan Stanleys Global Sustainable Finance Group (GSF) aims to drive the growth of sustainable investing through ongoing development of products and solutions, economic analysis, thought leadership and capacity building initiatives.
The GSF team is seeking a Quantitative Analyst to support the teams incubation and execution of innovative sustainable investing approaches that leverage advanced data analytics to create products and solutions for clients of Morgan Stanley.
Successful candidates will have a dual passion for financial markets and climate change/sustainability issues, as well as demonstrated expertise in climate economics (including knowledge of leading-edge approaches, data sources, and analytical tools, etc).
Additionally, successful candidates will be well-organized and detail oriented, and will work well in team environments.
- Conduct quantitative analysis on topics related to sustainable investing, while understanding and analyzing various sources of sustainability data using a range of statistical and econometric methods.
- Stay well-informed about the latest sustainability-related professional and academic research.
- Summarize outputs appropriately for internal and executive audiences, and a wide range of clients.
- Assist with content development and project management related to other areas of the GSF team, including, but not limited to, thought leadership through Morgan Stanleys Institute for Sustainable Investing and/or functions of the Office of Sustainability, utilizing a similar skillset.
- Undergraduate or Masters degree in Mathematics, Economics, Statistics, Finance, Computer Science, Engineering or a similarly quantitative field.
- A strong interest and background in applying quantitative methods to sustainability topics in a financial setting, such as an equity or fixed-income trading, research, or risk management operation.
- 2+ years of work experience. Recent quantitative academic qualification can substitute for experience.
- Experience with one or more statistical programming languages (Python and/or R are preferred).
- Familiarity with financial market data sources (Bloomberg, Morningstar, Factset, Datastream) and environmental, social and governance (ESG) data frameworks
- Strong and efficient research capabilities, with ability to assess and analyze a wide range of financial and alternative data sources.
- Comfort juggling multiple priorities; strong organizational and time management skills
- Ability to work effectively as a member of a team or independently
- Persistence, tenacity and drive for results
Exposure to one or more of the following areas is a plus:
- Geospatial analysis tools and datasets
- AI/NLP driven news and sentiment data sources or models
- Non-parametric statistical techniques
- Factor-based models, asset pricing, and portfolio optimization
- Fundamentals of financial analysis and corporate valuation
- Series 7 and 63 licenses.
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.