Quant Research Analyst

At MFS, you will find a culture that supports you in doing what you do best. Our employees work together to reach better outcomes, favoring the strongest idea over the strongest individual. We put people first and demonstrate care and compassion for our community and each other. Because what we do matters - to us as valued professionals and to the millions of people and institutions who rely on us to help them build more secure and prosperous futures.THE ROLEBe part of a team of quantitative analysts and portfolio managers developing and managing a set of quant/fundamental blend equity strategies. Research enhancements to stock selection models, evaluate portfolio construction methodologies and develop production code. Serve as a member of MFS' Global Sector Teams and work with fundamental researchers & portfolio managers as a representative of the quantitative research group.WHAT YOU WILL DOLead independent research projects to evaluate stock selection factors, improve model estimation algorithms and enhance the portfolio construction process.Write production code to enhance the research and portfolio management processes.Work closely with a team of experienced quantitative analysts and portfolio managers to develop a business with roughly $14bn AUM as of 9/30/2023.Contribute to the research agenda: Attend conferences, monitor academic and practitioner research, generate ideas for research projects.Serve as a member of one or more of MFS' Global Sector Teams (composed of fundamental equity, credit and quantitative analysts). Provide team or teams with a quantitative analyst's skills and perspective, e.g. backtest investment signals or provide portfolio construction analysis.WHAT WE ARE LOOKING FORMinimum 5 years of relevant industry experience.Ability to structure thoughtful, detail-oriented solutions to complex problems with minimal supervision.Strong written and verbal communications skills, inclusive of the ability to listen and incorporate feedback into one's work.Experience with and strong interest in researching the central issues of quantitative stock selection, e.g. conducting statistical analysis on large datasets, forecasting stock returns using company characteristics and market data.Proficiency in analysis languages, like Python, Matlab, R.Proficiency in SQL.Experience with quantitative equity portfolio construction theory and practice, and with the major vendors in the space, e.g. Axioma, Barra, Northfield.Graduate education in relevant field.Proficiency in C#.Familiarity with financial data software such as Bloomberg or FactSet.MFS is a

hybrid work environment

(remote/onsite) unless otherwise stated in the job posting.

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