GenAI-Powered Fixed Income Strategist – VP

Morgan Stanley; Greater London; On-site; GBP 80,000 - 100,000; Full time

Job summary

Morgan Stanley is seeking a Client Financing Strategist in London to enhance GenAI strategies and develop trading applications in Python and Scala. The role involves collaborative work with sales, trading, and IT teams, requiring strong analytical skills, a background in trading application development, and an advanced degree in a quantitative field. The position promotes a supportive and inclusive work environment and emphasizes effective communication across teams.

Qualifications

• Experience with GenAI tools and their application.
• Strong technical skills in programming; knowledge of Scala and Python is a plus.
• Strong statistical/econometric skills and ability to analyze large datasets.
• Experience in risk and P&L implementation and production support.
• Experience in trading application development.
• Knowledge of Fixed Income products is a plus.

Responsibilities

• Active improvement of GenAI-powered strategies and trading workflow.
• Development and production support of trading applications in a Python-based library.
• Development and production support in a Scala-based risk and P&L system.
• Collaboration with operations, middle office, and IT teams to improve workflows.
• Knowledge acquisition of repo markets for better collateral allocation.

Skills

Experience with GenAI tools

Strong technical skills in programming

Strong statistical/econometric skills

Experience in risk and P&L implementation

Experience in trading application development

Knowledge of Fixed Income products

Strong communication skills

Ability to present complex issues clearly

Ability to manage multiple projects

Education

Advanced degree in a quantitative field

Tools

Scala

Python

Job description

Morgan Stanley is seeking a Client Financing Strategist in London to enhance GenAI strategies and develop trading applications in Python and Scala. The role involves collaborative work with sales, trading, and IT teams, requiring strong analytical skills, a background in trading application development, and an advanced degree in a quantitative field. The position promotes a supportive and inclusive work environment and emphasizes effective communication across teams.