The role involves the development, validation, and management of quantitative solutions for production trading systems at Morgan Stanley. It requires the use of mathematics and empirical simulation to conduct sensitivity analysis and detect edge cases. The position also focuses on designing, developing, and testing optimization problem specifications while effectively communicating complex quantitative and mathematical concepts to non-technical users. This role is part of a collaborative team dedicated to delivering exceptional ideas and solutions.

• Strong mathematical skills are essential.
• Technical proficiency is required.
• A PhD in a mathematics-related subject is preferred.

• Develop and validate quantitative solutions for trading systems.
• Perform sensitivity analysis and edge-case detection using mathematics and empirical simulation.
• Design, develop, and test optimization problem specifications.
• Communicate quant and math implementations to non-technical users.

• Morgan Stanley offers extensive benefits that support employees’ careers, health, finances, and families, including top-tier medical coverage, mental health support, generous parental leave, fertility and family-building benefits, and robust retirement and stock purchase plans. Employees also gain access to continuous learning and networking opportunities, volunteer and giving programs aligned with the firm’s values, and hundreds of lifestyle perks like discounted products, cultural and entertainment tickets, and commuter savings.