Quantitative Investment Analyst - Hybrid, AI-Driven

T. Rowe Price Hong Kong; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

T. Rowe Price is seeking a Quantitative Researcher to join the Investment Data Insights team in London. The role blends AI and quantitative investing techniques to enhance the fundamental investment process, delivering data-driven insights for better decisions.

Work with experienced analysts and PMs to publish research and recommendations. Hybrid work up to one day per week from home, with strong collaboration across investment and tech teams.

Qualifications

• B.S. in a quantitative discipline with 3+ years applying quantitative and AI methods in investing.
• Advanced proficiency in R, Python and SQL for research and modeling in an investment context.
• Preferred: M.S. or Ph.D. in a quantitative discipline; CFA charter/candidate or commitment to obtaining.
• Experience collaborating with fundamental equity analysts and portfolio managers.

Responsibilities

• Build strategic relationships with fundamental analysts and PMs to understand investment frameworks and decisions.
• Deliver research-backed insights and publish clear reports for technical and non-technical audiences.
• Proactively identify areas where quantitative analysis can inform investment theses and support portfolio reviews.
• Foster integration of quantitative insights and AI into the fundamental investment process across teams.

Skills

R

Python

SQL

Quantitative methods

AI techniques

Communication

Stakeholder management

Education

B.S. in a quantitative discipline

M.S. or Ph.D. in a quantitative discipline

Tools

R packages

Python for research

Job description

T. Rowe Price is seeking a Quantitative Researcher to join the Investment Data Insights team in London. The role blends AI and quantitative investing techniques to enhance the fundamental investment process, delivering data-driven insights for better decisions.

Work with experienced analysts and PMs to publish research and recommendations. Hybrid work up to one day per week from home, with strong collaboration across investment and tech teams.