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About the Role

We are looking for a Quantitative Researcher to join our Investment Data Insights team in London. This role combines advanced AI and quantitative investing techniques to enhance and support our fundamental investment process. Working alongside experienced analysts and portfolio managers, this role will help deliver innovative, data-driven insights that inform better investment decisions. This is an opportunity to be part of a team deeply engaged in pioneering AI research and modern quantitative approaches, collaborating directly with our fundamental research platform on initiatives that help shape the future of the firm’s investment strategies.

Responsibilities

Develop and maintain strong, consultative relationships with fundamental analysts and portfolio managers (PMs)
Seek to understand each stakeholder's investment framework, objectives, and decision-making approach
Serve as a valued partner, identifying opportunities where quantitative techniques, alternative data, and/or AI can add meaningful value to their process
Conduct independent, high-quality research integrating quantitative and AI techniques
Author clear, insightful research reports that communicate complex findings effectively for both technical and non-technical audiences
Respond to ad-hoc data requests while also initiating value-add projects independently
Anticipate and identify areas where quantitative analysis could inform or enhance current investment theses
Push relevant research and portfolio reviews proactively to analysts and PMs, supplementing their ongoing decision-making process
Present research and recommendations confidently in meetings and formal presentations to the investment team
Foster adoption and integration of quantitative techniques into the fundamental investment process
Work collaboratively across investment and tech teams to deliver solutions when necessary
Ensure clear communication and successful project delivery between quantitative and fundamental research groups

Requirements

B.S. in a quantitative discipline (Computer Science, Applied Mathematics, Statistics, or related field)
3+ years of experience applying quantitative and AI methods in investing
Experience working with fundamental equity analysts and portfolio managers
Advanced proficiency in programming languages (R, Python, and SQL) plus experience applying these to research and modeling in an investment context
Exceptional analytical and problem-solving skills, blending both quantitative rigor and qualitative judgment
Outstanding written and verbal communication skills, with demonstrated ability to present complex quantitative concepts to diverse audiences
Strong interpersonal, relationship-building, and collaborative skills; team-oriented with a high degree of professionalism
M.S. or Ph.D. in a quantitative discipline
CFA charter/candidate, or commitment to obtaining one

Skills

AI
Quantitative investing
Data-driven insights
Quantitative techniques
Alternative data
R
Python
SQL
Research
Modeling
Analytical skills
Problem-solving skills
Communication skills
Interpersonal skills
Relationship-building skills
Collaborative skills

Location

London

Work Type

Hybrid

Experience Level

3+ years of experience

Education Level

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