Quantitative Investment Analyst, Multi-Asset

T. Rowe Price
Baltimore, Maryland (US)
commensurate with experience
14 Jun 2022
14 Jul 2022
Req #61840
Industry Sector
Asset Management
Employment Type
Full Time

T. Rowe Price’s Multi-Asset Division, which collectively manages $450bn+ across a growing range of mandates globally, provides a collaborative, solution-oriented environment for quantitative researchers from a diverse set of backgrounds. Part of the division is dedicated to systematic investing and oversees a variety of research-driven, often risk managed strategies that offer alternative or enhanced value propositions based upon existing capabilities from the broader T. Rowe Price investment platform. The highly interactive and thorough investment process at T. Rowe Price values intellectual agility and honesty, tolerance for ambiguity, a collaborative demeanor, a high degree of pragmatism, and a constructive attitude towards change.

Role Summary:

T. Rowe Price’s Quantitative Investment Analyst opportunity requires an experienced, generalist multi-asset researcher who will conduct applied, investment-oriented quantitative analysis within the Multi-Asset Division at T. Rowe Price. One area of emphasis will be researching risk premium and factor investing at the asset class level, including, but not limited to:

  • Reviewing academic and practitioner research related to multi-asset factors, as well as replicating key results
  • Contributing to the broader research process by helping to select, define, or refine multi-asset factors that can be used as investment signals
  • Testing investment signal effectiveness by applying statistical and econometric methods to large panel datasets in ways that are robust to overfitting and distinguish between longitudinal and cross-sectional relationships.

Minimum requirements:

  • 3+ years prior investing experience
  • Undergraduate degree in a quantitative discipline, either in economics or quantitative finance, or in the natural sciences or engineering
  • A strong foundation in applied empirical analysis (experimental work with large datasets in the natural sciences, statistics or economics)
  • Strong programming skills in R or Python
  • The ability to work effectively in a thoughtful, collaborative team environment
  • Strong communication skills, being able to interface effectively with forward-thinking quantitative colleagues as well as non-technical audiences

Preferred Requirements:

  • Graduate degree in a quantitative discipline, either in economics, quantitative finance, or the natural sciences and engineering
  • Prior experience in systematic, multi-asset factor or risk premium investing
  • Evidence of independent research in multi-asset factor or risk premium investing
  • Advanced proficiency in R and SQL
  • CFA certification
  • Experience working with listed derivatives (Options & Futures)
  • Experience with the Black-Litterman model

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

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