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Quantitative Investment Analyst - Investment Data Insights

T. Rowe Price London, United Kingdom
Posted 1 day ago Permanent Competitive

Quantitative Investment Analyst - Investment Data Insights

T. Rowe Price London, United Kingdom
Quantitative Investment Analyst - Investment Data Insights

At T. Rowe Price, we identify and actively invest in opportunities to help people thrive in an evolving world. As a premier global asset management organization with more than 85 years of experience, we provide investment solutions and a broad range of equity, fixed income, and multi-asset capabilities to individuals, advisors, institutions, and retirement plan sponsors. We take an active, independent approach to investing, offering our dynamic perspective and meaningful partnership so our clients can feel more confident.



We believe doing the right thing for our clients and our associates is good business. With a career at the firm, you can expect opportunities to create real impact at work and in your community. You'll enjoy resources to support your career path, as well as compensation, benefits, and flexibility to enrich your life. Here, you'll find a collaborative culture that respects and values differences and colleagues who share a spirit of generosity.



Join us for the opportunity to grow and make a difference in ways that matter to you.




Role Summary



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




Build Strategic Relationships with Stakeholders:



  • 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




Deliver Research-Backed Insights and Consultation:



  • 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




Proactive Research & Recommendations:



  • 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




Facilitate Integration of Quantitative Insights and AI:



  • 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




Success Measures:



  • Strength and breadth of relationships with key stakeholders (Analysts, PMs, Investments leadership)

  • Demonstrated impact through increased awareness and utilization of data-driven insights by fundamental investors

  • Quality, clarity, and influence of published research and presentations

  • Measurable contribution to improved investment results




Qualifications




Required:



  • 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




Preferred:



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

  • CFA charter/candidate, or commitment to obtaining one




Work Flexibility



This role is eligible for hybrid work, with up to one day per week from home.




Commitment to Diversity, Equity,
and
Inclusion:



At T. Rowe Price, our associates are our greatest asset. We thrive because our company culture is built on inclusion and because we sustain a work environment where associates can bring their best selves to work every day. The backgrounds, talents, and experiences of our global associates allow us to embrace new ideas and perspectives that move our business priorities forward and enable us to deliver strong client outcomes. Here, you can expect equal opportunity and fair and consistent treatment for all.




T. Rowe Price is an equal opportunity employer and values diversity of thought, gender, and race. We believe our continued success depends upon the equal treatment of all associates and applicants for employment without discrimination on the basis of race, religion, creed, colour, national origin, sex, gender, age, mental or physical disability, marital status, sexual orientation, gender identity or expression, citizenship status, military or veteran status, pregnancy, or any other classification protected by country, federal, state, or local law.

Job ID  83998
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