VP, Quantitative Research & AI Analytics

574 Morgan Stanley Employment Services UK Ltd.; Greater London; On-site; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Flexible working arrangements

Competitive benefits

Job summary

Morgan Stanley in London is seeking a talented Quantitative Analyst to join our central Quantitative Research & Analytics team. The role blends rigorous quantitative methods with data science to support investment research and decision making, including backtesting, large datasets, and AI-enabled tools.

You will develop frameworks, analyze financial data, and translate findings into actionable insights for investment professionals.

Qualifications

• Bachelor's or Master's in a quantitative field such as Mathematics, Statistics, CS, Engineering, Physics, Economics, or related.
• Professional experience in quantitative research, data science, financial analytics, or related analytical role.
• Strong programming in Python with data manipulation and statistical libraries.
• Solid foundation in statistics, probability, regression analysis, and empirical methods.

Responsibilities

• Support development and application of quantitative frameworks for investment research.
• Analyze company fundamentals, financial data, and market data to test hypotheses.
• Conduct statistical analyses, backtesting, and empirical research of signals.
• Collaborate with senior researchers to assess business quality and valuation characteristics.
• Translate findings into clear, actionable insights for investment professionals.

Skills

Python programming

Statistics & methods

Data analysis

SQL basics

Communication skills

Education

Bachelor's/Master's in quantitative field

Tools

Pandas

NumPy

SciPy

scikit-learn

Job description

Morgan Stanley in London is seeking a talented Quantitative Analyst to join our central Quantitative Research & Analytics team. The role blends rigorous quantitative methods with data science to support investment research and decision making, including backtesting, large datasets, and AI-enabled tools.

You will develop frameworks, analyze financial data, and translate findings into actionable insights for investment professionals.