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 DO- Lead independent research projects to evaluate stock selection factors, improve model estimation algorithms and enhance the portfolio construction process.
- Work closely with a team of experienced quantitative analysts and portfolio managers to develop a business with roughly $27bn AUM as of 3/31/2026.
- Contribute to the research agenda: Attend conferences, monitor academic and practitioner research, generate ideas for research projects.
- Write production code to enhance the research and portfolio management processes.
- 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 FOR- Minimum 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.
- Familiarity with financial data software such as Bloomberg or FactSet.
- Proficiency in C#.
Base Salary: $175,000
This position is eligible for competitive incentive bonus.
At MFS, we believe in fair and transparent compensation. For that reason, we're including the salary range for this position. This range reflects our good-faith expectation for what we'll pay depending on the candidate's experience, training and education. In addition to the salary, we also offer significant and competitive incentive compensation based on both individual and company performance. Other components of our Total Rewards Package include:
- MFS contributes an amount equal to 15% of your base salary to your retirement account that is separate from the company -sponsored 401(k)
- Education Assistance: MFS contributes $100 monthly up to $10,000 lifetime maximum directly to loan provider
- Education Assistance: Tuition reimbursement up to $8,000 annually
- Education Assistance: Access to discounted tutors and college coaches
- Generous time off and fully paid leaves including 20-weeks for maternity, 12-weeks for parental and caregiver leaves
- Choice of medical and dental plans and an and an employer contribution into the Health Savings Account
- Tax deferred commuter benefits & flexible spending accounts (medical & dependent care)
- Wellness Programs: Robust wellness webinars, employee assistance program with a focus on mental health, subsidized fitness benefit via Wellhub (formerly Gympass), where you can workout at gyms, studios and boutique fitness locations near you, join virtual personal training sessions and access a wide variety of well-being apps
Our compensation philosophy is to pay competitively for talent while ensuring equity across employees performing comparable work. We are committed to transparency - if you have questions about how we arrived at this range or what additional benefits and bonus opportunities come with the role, we'll be happy to discuss them
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At MFS, we are dedicated to building a diverse, inclusive and authentic workplace. If you are excited about this role but your past experience doesn't align perfectly, we encourage you to apply - you might be just the right candidate for this role or others.
MFS is a
hybrid work environment (remote/onsite) unless otherwise stated in the job posting.
