Investment Management – Vice President, Quantitative Analyst (London)

574 Morgan Stanley Employment Services UK Ltd.; Greater London; On-site; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Flexible working arrangements

Competitive benefits

Job summary

Morgan Stanley in London is seeking a talented Quantitative Analyst to join our central Quantitative Research & Analytics team. The role blends rigorous quantitative methods with data science to support investment research and decision making, including backtesting, large datasets, and AI-enabled tools.

You will develop frameworks, analyze financial data, and translate findings into actionable insights for investment professionals.

Qualifications

• Bachelor's or Master's in a quantitative field such as Mathematics, Statistics, CS, Engineering, Physics, Economics, or related.
• Professional experience in quantitative research, data science, financial analytics, or related analytical role.
• Strong programming in Python with data manipulation and statistical libraries.
• Solid foundation in statistics, probability, regression analysis, and empirical methods.

Responsibilities

• Support development and application of quantitative frameworks for investment research.
• Analyze company fundamentals, financial data, and market data to test hypotheses.
• Conduct statistical analyses, backtesting, and empirical research of signals.
• Collaborate with senior researchers to assess business quality and valuation characteristics.
• Translate findings into clear, actionable insights for investment professionals.

Skills

Python programming

Statistics & methods

Data analysis

SQL basics

Communication skills

Education

Bachelor's/Master's in quantitative field

Tools

Pandas

NumPy

SciPy

scikit-learn

Job description

Investment Management – Vice President, Quantitative Analyst London Position Overview

We are seeking a talented and intellectually curious Quantitative Analyst to join our central Quantitative Research & Analytics team. The team partners with fundamental investment teams to enhance investment research and decision‑making through quantitative analysis, data science, and innovative technology. The successful candidate will work alongside investment professionals to develop analytical frameworks, investigate investment questions, and build tools that generate differentiated insights and improve research efficiency. This role offers a unique opportunity to apply quantitative and computational techniques to real-world investment problems, combining rigorous analytical work with exposure to fundamental equity investing, portfolio analytics, and emerging applications of artificial intelligence.

Key Responsibilities

• Support the development and application of quantitative frameworks that enhance fundamental investment research and decision-making.
• Analyze company fundamentals, financial statements, market data, and other datasets to investigate investment hypotheses and identify meaningful patterns.
• Conduct statistical analyses, empirical research, and backtesting to evaluate investment signals, relationships, and analytical methodologies.
• Collaborate with senior quantitative researchers to develop approaches for assessing business quality, valuation, earnings dynamics, and other investment characteristics.
• Translate analytical findings into clear, concise, and actionable insights for investment professionals.

Data Science & Advanced Analytics

• Apply statistical methods, machine learning, and data science techniques to investment research problems.
• Work with large, complex datasets, including financial, economic, and alternative data.
• Develop and maintain robust data pipelines, analytical workflows, and reusable research code.
• Evaluate new datasets and analytical techniques, assessing their quality, reliability, and potential investment relevance.
• Support the development of scalable analytical capabilities that can be leveraged across multiple investment teams.
• Contribute to the development and evaluation of AI‑enabled tools that enhance investment research workflows.
• Explore applications of large language models, natural language processing, and other emerging technologies to financial and textual data.
• Assist in developing analytical tools and visualizations that help investment teams understand portfolio positioning and sources of risk.

Collaboration & Analytical Delivery

• Partner with colleagues across the central quantitative team and fundamental investment teams to understand research requirements and deliver analytical solutions.
• Present findings clearly, explaining methodologies, assumptions, limitations, and implications.
• Document research processes, analytical methodologies, and code to support reproducibility and knowledge sharing.
• Contribute to a collaborative, intellectually rigorous, and innovative research environment.

Qualifications Required

• Bachelor's or Master's degree in a quantitative discipline such as Mathematics, Statistics, Computer Science, Engineering, Physics, Economics, or a related field.
• Professional experience in quantitative research, data science, financial analytics, or a related analytical role.
• Strong programming proficiency in Python, including experience with data manipulation, statistical analysis, and analytical libraries such as pandas, NumPy, SciPy, and scikit‑learn.
• Solid foundation in statistics, probability, regression analysis, and empirical research methods.
• Experience working with large datasets, including data cleaning, transformation, and exploratory analysis.
• Familiarity with SQL and modern data analysis workflows.
• Strong analytical and problem‑solving skills, with attention to detail and methodological rigor.
• Ability to communicate technical findings effectively to both quantitative and non‑quantitative audiences.
• Intellectual curiosity, a collaborative mindset, and a strong interest in financial markets and investing.

Preferred Experience

• Experience in asset management, investment research, financial services, or a related industry.
• Familiarity with equity fundamentals, financial statements, valuation concepts, and investment research processes.
• Experience with financial market datasets and platforms such as Bloomberg, FactSet, or Capital IQ.
• Exposure to machine learning, natural language processing, large language models, or generative AI applications.
• Familiarity with Git, cloud computing platforms, and software development best practices.

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.

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.

In each line of business, we strive to demonstrate our belief in the power of transformative thinking, innovative strategies and leading‑edge solutions—and in the ability of capital to work for the benefit of all society.

What We Do