Morgan Stanley’s Equities Division is seeking a Strategist / Quantitative Analyst to join its Flow Optimization team in London, focusing on the analysis of trading activity, hedging optimization, and pricing and risk management models supporting decision-making across equity derivatives markets.
Strats are integral contributors to the firm’s revenue-generating activities, working in close collaboration with traders, sales, and technology teams within the Sales & Trading Division. They play a key role in enhancing trading efficiency, improving analytical frameworks, and supporting data-driven decision-making across a broad range of products and market conditions.
About Morgan Stanley
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services.
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. We 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.
What will you be doing?
- Analyze trading activity and client flow data to identify patterns, opportunities, and areas for optimization across the business.
- Develop quantitative models and analytical frameworks to support pricing, execution, and risk management processes.
- Conduct statistical analysis and backtesting of trading and hedging strategies under varying market conditions.
- Build and maintain scalable data pipelines, monitoring tools, and research infrastructure used by trading and strategist teams.
- Partner closely with traders, sales, and technology teams to improve workflows, enhance decision-making, and support strategic initiatives.
- Contribute to the continuous enhancement of analytical methodologies and automation capabilities within the team.
What we’re looking for:
- Master’s degree or PhD in Mathematics, Statistics, Physics, Engineering, Computer Science, or a related quantitative discipline.
- Relevant experience (3y minimum) in a quantitative, trading, data science, or analytical role within financial services.
- Strong analytical and quantitative problem-solving skills, with experience working on large and complex datasets.
- Solid understanding of financial markets and trading environments.
- Experience with statistical modelling, data analysis, and research methodologies.
- Strong programming skills in Python; experience with data engineering or distributed computing frameworks is a plus.
- Ability to communicate effectively and collaborate across trading, technology, and business teams.
- Self-motivated individual with strong attention to detail and the ability to manage multiple priorities in a dynamic environment.
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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.
Skills Required
- Master's degree or PhD in Mathematics, Statistics, Physics, Engineering, Computer Science, or a related quantitative discipline
- Relevant experience (3y minimum) in a quantitative, trading, data science, or analytical role within financial services
- Strong analytical and quantitative problem-solving skills, with experience working on large and complex datasets
- Solid understanding of financial markets and trading environments
- Experience with statistical modelling, data analysis, and research methodologies
- Strong programming skills in Python; experience with data engineering or distributed computing frameworks
- Ability to communicate effectively and collaborate across trading, technology, and business teams
- Self-motivated individual with strong attention to detail and the ability to manage multiple priorities in a dynamic environment
Morgan Stanley Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Morgan Stanley and has not been reviewed or approved by Morgan Stanley.
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Parental & Family Support — Family support is extensive, with paid parental leave for all parents, adoption and fertility assistance, backup childcare, and eldercare resources. Feedback suggests these programs meaningfully enhance the overall package and help with retention.
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Healthcare Strength — Health coverage spans medical, dental, vision, mental‑health access, care navigation, and expert second opinions. Convenient primary care access and condition‑specific support reinforce the depth of healthcare coverage.
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Equity Value & Accessibility — Equity compensation and stock ownership are positioned as core motivators that encourage commitment and retention. Feedback suggests education and support are provided to help participants manage equity and related financial benefits.
Morgan Stanley Insights
What We Do
Morgan Stanley mobilizes capital to help governments, corporations, institutions and individuals around the world achieve their financial goals. For over 85 years, the firm’s reputation for using innovative thinking to solve complex problems has been well earned and rarely matched. A consistent industry leader throughout decades of dramatic change in modern finance, Morgan Stanley will continue to break new ground in advising, serving and providing new opportunities for its clients. Morgan Stanley is committed to maintaining the first-class service and high standard of excellence that have always defined the firm. At its foundation are five core values — putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back — that guide its more than 60,000 employees in 1,200 offices across 41 countries.
