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

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

London Full-Time 29700 - 36300 £ / year (est.) Home office (partial)
96 Morgan Stanley UK Ltd

At a Glance

  • Tasks: Conduct quantitative analysis on sustainable investing and climate change impacts.
  • Company: Join Morgan Stanley, a global leader in financial services with a commitment to sustainability.
  • Benefits: Flexible working arrangements, comprehensive employee benefits, and opportunities for career growth.
  • Other info: Collaborative environment with diverse teams and a focus on innovation.
  • Why this job: Make a real impact in sustainable finance while working with cutting-edge data analytics.
  • Qualifications: Degree in a quantitative field and expertise in Python; internships count as experience.

The predicted salary is between 29700 - 36300 £ per year.

Quantitative Analyst

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, Fact Set), 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 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

Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements.

Equal opportunity employer

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.

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Analyst, P1, EA Data & Analytics : Job Level - Analyst in London employer: 96 Morgan Stanley UK Ltd

At Morgan Stanley, we pride ourselves on being an exceptional employer, particularly for our Java Software Engineer role within the dynamic Investment Banking & Global Capital Markets Technology team. Our inclusive work culture fosters innovation and collaboration, providing employees with ample opportunities for professional growth and development while working on cutting-edge solutions that shape the future of finance. With flexible working arrangements and a commitment to diversity, we empower our team members to thrive both personally and professionally in a supportive environment.

96 Morgan Stanley UK Ltd

Contact Details:

96 Morgan Stanley UK Ltd Recruitment Team

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We think you need these skills to ace Analyst, P1, EA Data & Analytics : Job Level - Analyst in London

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