Quantitative Investment Analyst | Multi|Asset

T. Rowe Price's Multi-Asset Division collectively oversees over $500 billion across a growing range of mandates globally. The multi-faceted investment processes supporting these portfolios creates a collaborative, solution-oriented environment for quantitative researchers from a diverse set of backgrounds. Our dedicated Multi-Asset research team works closely with other investors throughout the Multi-Asset division to support all aspects of portfolio management with rigorous, applied quantitative research. We are looking for an experienced researcher to join our work program related to strategic asset allocation and portfolio construction. The size and varied nature of the research team's responsibilities create opportunities for associates to contribute in different areas and grow responsibilities over time. The successful candidate will demonstrate intellectual agility and honesty, tolerance for ambiguity, a collaborative demeanor, pragmatism, and a constructive attitude towards change.

Role Summary:

T. Rowe Price's Quantitative Investment Analyst opportunity requires a generalist multi-asset researcher who will conduct applied, decision-oriented quantitative analysis and research within the Multi-Asset Division at T. Rowe Price. An area of emphasis will be researching strategic asset allocation and portfolio construction for Multi-Asset portfolios, including, but not limited to:
• Contributing to the broader investment process by helping to design or enhance the strategic asset allocation of our multi-asset portfolios
• Researching new asset classes and investment categories to help inform division level view on their investment merits and sizing/sourcing considerations
• Developing new analytical frameworks to enhance portfolio evaluation, e.g. advanced risk analysis and/or our portfolio construction process
• Contributing towards topical investment analysis to help inform investment views
• Reviewing academic and practitioner research related to multi-asset investing, as well as replicating key results
• Selectively leading or contributing to other multi-asset research initiatives

Preferred Requirements:
• Detailed knowledge of portfolio optimization, risk forecasting methods and factor models
• Prior experience with Multi-Asset portfolio construction
• 3+ years of relevant work experience
• Advanced proficiency in R and SQL
• Experience contributing to code-based investment research in a collaborative and robust development environment (best practices around version control and deployment, facility with Git)
• Demonstrated track record of navigating a complex investment organization with diverse client segments and heterogeneous needs
• CFA designation obtained or in process

Minimum requirements:
• Graduate degree in a quantitative discipline, either in quantitative finance or economics, or in the natural sciences or engineering
• Willingness to pursue CFA designation
• Experience in capital markets and investment frameworks, either through work experience or educational background
• Strong programming skills in a computational language (R, MATLAB, Python, etc.)
• A strong educational and experiential foundation in applied empirical analysis and statistical inference (graduate education and/or empirical work in natural sciences, statistics, econometrics, data science)
• Intellectual curiosity and drive to improve capabilities by learning new skills and approaches to problem-solving.
• Well-developed oral and written communication skills (ability to gauge audience and to distill complicated analytical concepts down to the appropriate level for various audience)
• The ability to work effectively in an intellectually rigorous, collaborative team environment

FINRA Requirements

FINRA licenses are not required and will not be supported for this role.

Work Flexibility

This role is eligible for remote work up to one day a week.