Newport Beach, California
19 Aug 2021
18 Sep 2021
Industry Sector
Finance - General
Employment Type
Full Time

Research Affiliates, LLC, is committed to being the preeminent source of insights and products that transform the global investment community for the benefit of investors. Demonstrating our strong research focus, RA partners with some of the world’s leading financial institutions to distribute market-changing products in quantitative fundamental equities and multi-asset tactical allocation (stocks, bonds, credit, currencies, and commodities). Our high-reaching edge is the strength of our research, our product development capabilities, and our focus on culture. We support principles of sustainability and diversity.


The primary responsibilities of a Researcher include applying quantitative research techniques to better understand the drivers of risk and expected return within and across asset classes; analyzing and developing new signals and crafting them into quantitative investment strategies; and communicating this research clearly through writing. The ideal candidate should have proficient coding skills and experience manipulating data sets to help design and improve quantitative investment strategies. You should expect to collaborate with others on long-term research projects and possess strong teamwork skills, with the ability and desire to actively discuss both theories and empirical methods with the broad research team.

Those who match Research Affiliates’ cultural values will possess curiosity and a willingness to continually learn, be authentic in their interactions with others, take responsibility for their actions, and be strong collaborators both within and outside the firm.


  • Work on product-design-related projects to evolve the firm’s quantitative strategies under the guidance of the Multi-Asset and Equity Strategies teams.
  • Develop code to improve the firm’s strategy production and simulation engines.
  • Collaborate on articles for industry journals.
  • Assist in portfolio implementation and other operations.
  • Assist in due diligence meetings and provide technical support to our sales and distribution team.


  • Master’s degree in Finance, Economics, Statistics, Computer Science, Mathematics, or an equivalent field.
  • 1-3 years of experience in quantitative asset management or academics.
  • Familiarity with cross-sectional equity and/or multi-asset data series and databases.
  • Proficiency in architecting and writing well-structured Python code.
  • Strong written and verbal interpersonal skills.
  • Team player able to effectively lead in a collaborative environment.
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