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Sustainable Finance - Climate Scenario Analyst

About the job

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.

Department Profile
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 Climate Analytics 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 the physical impacts and economics of climate and/or analytics (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.

Job Summary
  • Conduct quantitative analysis on topics related to the physical and economic impacts of climate change, using various state-of-the-art models and datasets
  • Technically develop and execute novel modeling approaches in climate impact assessments and sustainable investing analytics
  • Conduct comprehensive model validation, diagnosis of modelled results and sensitivity analysis, while documenting and communicating the results in a well-organized way.
  • Integrate and optimize data and code for automation and execution at scale, and actively improve performance of existing modeling systems
  • Support documentation of modeling practices for rigorous review processes by internal and external stakeholders
  • 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

Requirements (we encourage interested candidates to apply even if they do not meet all required qualifications):
  • Undergraduate or Master's degree in Natural Sciences, Mathematics, Statistics, Economics, Finance, Computer Science, Engineering or a similarly quantitative field
  • 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
  • Experience with one or more statistical programming languages (Python and/or R are preferred)
  • Familiarity with prevalent topics in ESG, such as climate scenario analysis, physical and transition risk, energy and climate policy, damage functions, etc.
  • Strong and efficient research capabilities, including good practices in documentation and academic writing
  • Quick learner of new models and methods
  • Comfort juggling multiple priorities; strong organizational and time management skills
  • Ability to work effectively as a member of a team or independently
  • Strong attention to detail with persistence, tenacity, and drive for results
  • Excellent verbal and written communication skills presenting complex analytical results to both technical and non-technical audiences

Exposure to one or more of the following areas is a plus:
  • Integrated Assessment Models
  • Earth system models or other climate models
  • Computable general equilibrium (CGE) models
  • Experience with ML/AI modeling
  • Empirical analysis
  • Emission inventories and calculations
  • Derivation of damage functions
  • Environmental externalities
  • Geospatial analysis tools and datasets
  • Series 7 and 63 licenses

Expected base pay rates for the role will be between 68,000 and 90,000 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).
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Location: New York, NY, US
Company: Morgan Stanley

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