Morgan Stanley
Institutional Equity, Derivatives Strat
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The Institutional Equity Division (IED)
The Institutional Equity Division (IED) is a global leader in the origination, distribution and trading of equity, equity-linked and equity-derivative securities. The Quantitative Investment Strategies group creates rules-based investment strategies that provide our clients with a wide range of exposures. We are looking for an experienced quantitative developer to join the QIS Strats team to help build our platform of strategies.
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?
- Develop and enhance quantitative models for pricing, risk management, and analysis of equity derivatives products.
- Conduct research into market dynamics and trading behavior to improve trading strategies and risk frameworks.
- Provide direct desk support by implementing and maintaining pricing analytics, risk metrics, and P&L attribution tools.
- Back-test inventory management and trading strategies, critically evaluating performance and robustness under varying market conditions.
- Design and build analytical tools, data pipelines, and research platforms to support trading and strategist teams.
- Collaborate closely with traders to support decision-making processes and improve execution efficiency.
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What we’re looking for:
- Master’s degree or PhD in Mathematics, Statistics, Physics, Engineering, Computer Science, or a related quantitative discipline.
- At least 3 years of experience in quantitative modelling, preferably within equity derivatives or a related product class.
- Strong foundation in stochastic calculus, probability, statistics, and numerical methods.
- Experience with large-scale data analysis and model validation techniques.
- Proficiency in Python for quantitative development; familiarity with kdb+/Q is advantageous.
- Solid understanding of financial markets, particularly equity derivatives products and risk metrics.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication skills, with the ability to collaborate effectively with teams across functions.
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.
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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
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.
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