Rodeo
ResourcesPartnersSign in

Morgan Stanley

IED - Equity Derivatives Strat - Associate / VP

London
Posted 26 days ago
Sign up to applySee more jobs like this

How your CV stacks up

1Upload CV
2Analyse CV
3Improve CV

Upload your CV to see how well it fits this job role

?%

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.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

See breakdown
Save jobNot relevant
View details

It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

See breakdown
Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

See breakdown
Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

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.

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.

Get help with your application

Your very own career expert that helps elevate your application to the next level.

Get help applying for this job

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.

Trusted by 25,000+ job seekers

“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

Jessica, London

Get help applying for this job

Skills

Quantitative Analysis
Statistical Modelling
Data Analysis
Programming
Python
Data Engineering
Risk Management
Trading Strategies
Analytical Frameworks
Collaboration
Attention to Detail
Problem-Solving
Financial Markets
Hedging Optimization
Data Pipelines
Backtesting

Location

London, England, United Kingdom

Sign up to applySee more jobs like this