Research Analyst (Quantitative Research)

As a Research and Development team member, you will be involved in producing and maintenance of the investment and risk models, signals, and analytical platforms across several asset classes that cater to multiple Russell Investments teams. The ideal candidate will have a strong investment knowledge base, coupled with an adept understanding of coding and quantitative analysis.

Required Skills and Qualification:

• 3-5-years of programming (quant modelling)/investment experience.  
• Bachelor's degree in finance, Economics, Statistics, Computer Science, or a related field. 
• Proficient in Python and SQL (R or C# a plus) 
• Strong quantitative skill set with the ability to analyze complex data
• Solid understanding of investment principles and asset classes. 

Special Requirements

Occasional weekend support

Responsibilities

• Supporting and developing our Python and SQL research code infrastructure and models.
• Portfolio construction and backtesting research
• Assisting other team members on research projects
• Ad-hoc data analysis: respond to spontaneous requests from stakeholders for specific data insights or reports, present results in a clear and concise manner
• Maintaining and monitoring automated model generation
• Development and maintenance of databases and analytics dashboards to support research efforts