VP, E-Rates Strategy & Quantitative Trading

935 MS & Co Intl Plc - UK; Greater London; On-site; GBP 140,000 - 210,000; Full time

Job summary

Morgan Stanley in London seeks an FID eRates Strategist at Vice President level to design and implement electronic trading algorithms for government bonds and rate swaps. You will develop statistical and machine learning models for alpha signal research, pricing, hedging, and risk management, and build monitoring tools for performance.

The role requires strong math and data analysis skills, proficiency in Python (Kdb+/Java a plus), and the ability to translate ideas into practical, scalable

Qualifications

• Strong foundation in probability, statistics, and data analysis.
• Proficiency in Python; experience with q/kdb+ and Java is a plus.
• Experience in quantitative research, particularly alpha signal research.
• Ability to translate trading ideas and business requirements into quantitative problems.
• Strong communication skills and ability to explain complex concepts to diverse stakeholders.
• Collaborates effectively with technology teams to deliver solutions.

Responsibilities

• Design and implement electronic trading algorithms for government bonds and interest rate swaps.
• Develop statistical and machine learning models for alpha signal research, pricing, hedging, and risk management.
• Build tools for performance tracking and monitoring of algorithms and models.

Skills

Python

q/kdb+

Java

Probability & Statistics

Data analysis

Alpha signal research

Quantitative research

Communication skills

Team collaboration

Education

Advanced degree in a quantitative discipline (Mathematics, Statistics, Physics, Computer Science, or Engineering)

Job description

Morgan Stanley in London seeks an FID eRates Strategist at Vice President level to design and implement electronic trading algorithms for government bonds and rate swaps. You will develop statistical and machine learning models for alpha signal research, pricing, hedging, and risk management, and build monitoring tools for performance.

The role requires strong math and data analysis skills, proficiency in Python (Kdb+/Java a plus), and the ability to translate ideas into practical, scalable