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About the Role
This position is within the Strategic Asset Allocation team and will focus on investment research and capabilities that will be deployed over longer term (5+ year) investment horizons. In this role, you will blend portfolio objectives, independent investment research, and T. Rowe Price capabilities to develop portfolio design proposals.
Responsibilities
- Conduct financial, quantitative, and statistical analyses, portfolio optimizations, risk and scenario analysis, and other analytical assessments that contribute to the management of the multi-asset portfolios.
- Collaborate across the Equity, Fixed Income, and Multi-Asset Divisions, developing a deep knowledge of their resources and investment processes.
- Engage with internal stakeholders and external markets (clients, prospects, consultants) in the investment process.
- Maintain up-to-date knowledge of global investment trends and T. Rowe Price capabilities, contributing to capital market assumptions.
- Contribute to our team’s expanding library of analytical capabilities, with the mindset of scaling functionality across users and use cases.
- Develop portfolio design proposals including strategic asset allocation (SAA) and portfolio construction recommendations.
- Assist in the design of new products/portfolios and investment framework development.
- Research, own, and succinctly communicate investment views used as inputs for our SAA modelling.
- Review multi-asset portfolios managed by our division to improve alignment with market opportunity, benchmarks, and team's investment views.
Requirements
- Undergraduate degree in a quantitative discipline (economics, quantitative finance, natural sciences, or engineering).
- Minimum of 3 years of relevant investment research/quant work experience, ideally in a multi-asset investment related role.
- Basic proficiency in SQL and git.
- Experience with the Black-Litterman model.
- Strong understanding of investment concepts and portfolio optimization.
- Strong analytical and problem-solving skills.
- Strong communication skills, being able to interface effectively with quantitative colleagues as well as non-technical audiences.
- Proactive, detail-oriented, and highly motivated.
- Demonstrates integrity and passion for performance.
Skills
- Advanced proficiency in an interpreted language such as R.
- AI native (familiarity with Claude code or equivalent).
Location
- Hybrid
Work Type
- Hybrid
Experience Level
- Minimum of 3 years
Education Level
- Undergraduate degree in a quantitative discipline
- Masters degree in a quantitative discipline
About the Company
- T. Rowe Price is a global investment management organization.