Senior Quantitative Investment Analyst – Retirement Research

T. Rowe Price • Baltimore, MD

1d • $150,000 - $225,000 • Hybrid

About The Position

The Quantitative Investment Analyst role in the Multi-Asset Division is intended for an experienced, highly quantitative candidate who will join the Retirement Research team responsible for guiding the strategic asset allocation of target date strategies and developing personalized retirement investment solutions. Researchers on the team build analytical frameworks and conduct rigorous quantitative studies related to various aspects of retirement investing. Main areas of focus span individual investor behavior, optimal portfolio choice over the lifecycle, design and customization of target date glide paths, and personalization of financial advice. An active and growing area of research concentrates on developing pooled and personalized retirement income solutions. Candidates with expertise in actuarial science, retirement income, pensions, or longevity modeling will be particularly well positioned to contribute in this domain. The research environment at T. Rowe Price is highly interactive and places a strong emphasis on integrity, collaboration, and intellectual agility. Successful candidates demonstrate pragmatism, comfort with ambiguity, and a constructive approach to feedback and change. We seek individuals with a growth mindset and a genuine interest in building comprehensive, robust analytical systems that shape investment outcomes for millions of retirement savers worldwide.

Requirements

• MS degree in a STEM field or an MBA.
• 5+ years of experience conducting applied research in a business environment.
• Solid foundation in applied quantitative analysis (e.g., empirical work in natural sciences, statistics, finance, or econometrics).
• Proficiency in MATLAB, Python, R, or a comparable scientific programming language, with experience developing well-structured, version-controlled analytical code.
• Collaborative working style: willingness to listen, a penchant for sharing knowledge, and responsiveness to business needs.
• Ability to clearly convey complex analytical concepts and results to audiences with varying levels of technical expertise.

Nice To Haves

• PhD in a STEM field.
• Experience developing and supporting retirement income solutions.
• Expertise in annuity and pension modeling, longevity analysis, life insurance, or other closely related quantitative disciplines.
• Expertise in stochastic optimization and large-scale simulation modeling in the context of lifecycle investing and quantitative financial planning.
• Background in actuarial science, including actuarial examination progress or professional certification (ASA/FSA or international equivalent).

Responsibilities

• Execute all stages of quantitative research, from project design to communicating findings to internal and external stakeholders.
• Provide research-based guidance on product design and proactively enable business decision-making.
• Extend and maintain the team’s analytical infrastructure; this encompasses stewardship of core datasets, statistical models, and shared codebases.
• Disseminate research findings through industry conferences and webinars, white papers, and peer-reviewed publications.

Benefits

• Competitive compensation
• Annual bonus eligibility
• A generous retirement plan
• Hybrid work schedule
• Health and wellness benefits, including online therapy
• Paid time off for vacation, illness, medical appointments, and volunteering days
• Family care resources, including fertility and adoption benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior