Overview
Morgan Stanley’s Equities Division is seeking an experienced Strategist / Quantitative Analyst to join its Flow Optimization team in London, focusing on the development of analytical frameworks and strategic initiatives aimed at enhancing trading efficiency, quantitative decision‑making, and data‑driven capabilities across equity derivatives markets.
Responsibilities
- Lead the design and execution of strategic quantitative initiatives focused on trading optimization, flow analytics, and decision‑support capabilities across the business.
- Drive the development of analytical models, research frameworks, and scalable tools supporting pricing, execution, risk management, and trading workflows.
- Partner closely with trading, sales, quantitative, and technology teams to identify areas for improvement and coordinate the delivery of cross‑functional initiatives.
- Oversee the analysis of large market and transaction datasets to uncover actionable insights and enhance trading performance and operational efficiency.
- Guide the research and evaluation of trading and hedging methodologies through statistical analysis, simulation, and backtesting techniques.
- Contribute to the evolution of the team’s data infrastructure and research platforms, helping establish scalable and sustainable analytical capabilities.
- Act as a key stakeholder in defining the strategic direction of the team’s quantitative efforts and broader business capabilities.
- Mentor junior team members and help foster a collaborative and innovation‑driven environment across functions.
Qualifications
- Master’s degree or PhD in Mathematics, Statistics, Physics, Engineering, Computer Science, or a related quantitative discipline.
- Significant experience in a quantitative, trading, strategy, or data‑driven role within financial markets, preferably in an electronic or derivatives trading environment.
- Strong understanding of financial markets, trading dynamics, and quantitative methodologies applied to trading and risk management.
- Proven experience leading complex projects and coordinating initiatives across multiple business and technology teams.
- Strong statistical modelling, analytical, and problem‑solving capabilities, with experience working on large‑scale datasets.
- Advanced programming skills in Python; experience with distributed systems, data engineering, or high‑performance analytical environments is advantageous.
- Ability to communicate effectively with both technical and non‑technical stakeholders, translating quantitative insights into business impact.
- Demonstrated leadership skills, intellectual curiosity, and the ability to operate effectively in a fast‑paced and evolving environment.
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.
Equal Opportunity Employment
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. For more information, please visit https://www.morganstanley.com/people-opportunities/eeo.
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