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Quant Research Associate

External
mfs logoMfs · Boston
Full-timeRemote5d ago
ExcelMATLABPythonRisk Management
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About the role

At MFS, the Quantitative Research Associate Program is designed to allow associates to become fully immersed in the investment management business by working in support of MFS' quantitative research, portfolio management, and investment risk management teams. The Quantitative Research Associates work with analysts and portfolio managers through the development and maintenance of risk management and portfolio construction processes. Quantitative Research Associates participate in research projects aimed at the enhancement of quantitative research tools/systems, quantitative selection models, portfolio construction, and/or investment risk management. In addition, Quantitative Research Associates actively engage with the broader investment team to meet the team's analytical needs. The Quantitative Research Associate Program is designed to be a 2 - 4-year program, where incumbents generally will pursue graduate school or another opportunity inside or outside of MFS at the end of their term.

Responsibilities

  • Address data and analytical requests from the investment department through active engagement and outreach.
  • Work within quantitative research team on projects related to development of quantitative alpha models and/or the technology underlying those subjects.
  • Assist in the development and implementation of disciplined quantitative processes focused on alpha generation, portfolio construction and risk management.
  • Effectively communicate results of processes and research within and outside of the quantitative group as appropriate.
  • Assume additional projects and responsibilities as required.

Requirements

  • Bachelor's degree in a relevant field (e.g. Finance, Economics, Mathematics, Engineering, or other quantitatively oriented discipline) or equivalent experience.
  • Exceptional analytical skills, ability to gather and concisely compile large amounts of information.
  • Strong problem solving skills and ability to work independently on complex projects.
  • Strong communication skills; both written and verbal.
  • Proficiency in Microsoft Excel and matrix based programming languages such as R, Python, Matlab preferred. Familiarity with AI or with financial data software such as Bloomberg or FactSet is a plus.
  • Attention to detail and commitment to accuracy.
  • Base Salary : $115,000
  • This position is eligible for competitive incentive bonus.
  • 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)
  • #LI-HYBRID
  • 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

Benefits

Health insuranceDental insurance401(k)Remote work optionsFlexible scheduleEquity / stock optionsPerformance bonusParental leave

Additional Information

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.


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