The Company's Global Sustainability Office aims to drive the growth of sustainable investing through ongoing development of products and solutions, economic analysis, thought leadership and capacity building initiatives.
Within GSO, the Global Sustainable Finance (GSF) team's work supports product creation and development across Investment Banking, Sales & Trading, Investment Management and Wealth Management. These products can include investible products or digital applications.
The GSF team's Sustainable Insights Lab is seeking a Quantitative Analyst to support the team's 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 and/or analytics (including knowledge of leading-edge approaches, data sources, analytical tools, etc).
Additionally, successful candidates will be well-organized and detail oriented, and will work well in team environments.
Job Summary:
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.
Support execution and project management of innovative sustainable investing analytics, products, and solutions while working closely with partners across all areas of the Firm.
Conduct quantitative analysis on topics related to the physical and economic impacts of climate change, using various climate impact assessment models and geospatial datasets.
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.
Summarize outputs appropriately for internal and executive audiences, and a wide range of clients.
Stay up to date with the latest climate science and sustainable finance trends.
Undergraduate or Master's 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.
- 1-3 years of work experience. Recent quantitative academic qualification can substitute for experience.
- Expertise with one or more statistical programming languages (Python and/or R are preferred).
- Familiarity with financial market data sources (Bloomberg, Morningstar, FactSet), ESG data frameworks, and data visualization applications (Tableau, Power BI).
- 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
- Integrated Assessment Models, Earth System Models, or other climate models
- AI/NLP driven news and sentiment data sources or models
- Factor-based models, asset pricing, and portfolio optimization
- Series 7 and 63 licenses
Expected base pay rates for the role will be between $80,000 and $110,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.
It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.
Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet)
Job: *Global Sustainable Finance
Title: Sustainable Finance Quantitative Associate
Location: New York-New York
Requisition ID: 3252872
