Analyst, P1, EA Data & Analytics : Job Level - Analyst

Quantitative Analyst Location: London Morgan Stanley's Global Sustainability Office (GSO) 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 the development and creation of financial products and digital applications across Investment Banking, Sales & Trading, Investment Management and Wealth Management divisions globally. 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 bring strong coding, technical and analytical capabilities, alongside an interest in financial markets and climate change/sustainability issues. Additionally, successful candidates will be well-organized and detail oriented, and will work well in team environments. Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world What you'll do in the role Conduct quantitative analysis on topics related to sustainable investing, while understanding and analyzing various sources of sustainability, financial or economic 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. What you'll bring to the role : We encourage interested candidates to apply even if they do not meet all required qualifications Undergraduate or Master's degree in Mathematics, Economics, Statistics, Finance, Computer Science, Engineering, or a similarly quantitative field. Expertise with Python for data science A strong interest and background in applying quantitative methods to sustainability topics in a financial setting, such as building analytical tools, working with large datasets, or developing models for research, trading, risk, or portfolio analysis. 0-2 years of work experience, including internships, research, or professional experience in quantitative analysis, data science, finance, or related technical roles. Recent quantitative academic qualification can substitute for experience. 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-driven news and sentiment data sources or models Factor-based models, asset pricing, and portfolio optimization Familiarity with financial market data sources (Bloomberg, Morningstar, FactSet), ESG data frameworks, AI tools, and data visualization applications (Tableau, Power BI). WHAT YOU CAN EXPECT FROM MORGAN STANLEY: At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years.  Our values -