IED - Equity Derivatives Strat - ED

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 people-opportunities/eeo.


• 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.
  
  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., Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services.