Senior Quantitative Research Analyst

Russell Investments•Seattle, WA

1d•$120,000 - $140,000

About The Position

As a member of the Research & Development team, this position will direct and expand research across the Investment Division. Activities will include initiating, fostering, and collaborating on data-oriented research projects with other associates involved in investment research, manager research, portfolio construction and analysis, asset allocation and implementation. This position will oversee and create quantitative solutions and analysis in support of these research projects and oversee bringing these projects to fruition. One of the responsibilities for this role will be to help grow our retail personalized managed account platform by working with the go-to-market team to develop new multi-asset solutions/models in this quickly developing marketplace. This position will provide material guidance to junior members of the team.

Requirements

3-5 years of relevant experience in areas such as equity or fixed income portfolio construction, factor research, strategy backtesting, optimizations, machine learning, and coding.
Master's degree or higher preferred - Finance, Math, Statistics, Computer Science or Economics preferred
CFA, or progress towards, preferred.
Understanding of quantitative financial modeling and portfolio construction.
Programming skills in Python and SQL preferred with knowledge of production coding techniques.
Strong verbal and written communication skills.
Ability to be an effective team member on projects working across the Investment Division (includes portfolio management, manager research, asset allocation and implementation).
Ability to work autonomously on a wide range of projects simultaneously while directing junior associates.
Proven ability to multi-task and work in a dynamic environment.

Responsibilities

Conducting bespoke research projects on investment topics across all asset classes, strategies and security types.
Portfolio construction research
Directing and conducting research using Python and SQL and various internal tools, databases, and systems.
Strong coding and data analytic skills.
Partnering with associates from around the Investment Division to bring research projects to completion