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 - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
Certified Persons Regulatory Requirements:
If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.
Flexible work statement
Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.
Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.
Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.
For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.
Morgan Stanley London, England Office
25 Cabot Square, Canary Wharf, London, United Kingdom, E14 4QA
