Researcher

DESCRIPTION

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 within the firm.

ROLES AND RESPONSIBILITIES

• Work on enhancements to existing quantitative investment strategies and assist in designing new strategies. 
• Develop Python code to evolve the firm’s quantitative investment 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.

EDUCATION, SKILLS, AND EXPERIENCE

• 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.