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MFS Investmentsposted 16 days ago
Mid Level
Hybrid • Boston, MA
Securities, Commodity Contracts, and Other Financial Investments and Related Activities
Resume Match Score

About the position

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 Data Science Lead Analyst, in collaboration with Business Unit and in connection with individual projects, will analyze and evaluate large quantities of data. Leveraging your advanced data analysis skills, you will create, develop, and iterate innovative approaches to answer business questions that will inform the Business Unit engagements. You will apply a data-driven analytical approach to a variety of questions related to MFS's operations, risks, and controls. Your work will be project-oriented: you will often be responsible for the entire analytical process - from working with members of the team to identify their need for analytics, data preparation, to outlining the type of solution (implementation and interpretation of the results). You will constructively discuss your results and potential findings with members of the team and the other MFS Business Units.

Responsibilities

  • Working with BU to answer business questions with data analytics solutions
  • Identifying and preparing the data (from internal and external sources) through direct coordination with MFS business areas and IT
  • Work with cross-functional stakeholders and leaders to gather and synthesize relevant data, analyze, and develop final recommendations
  • Support BU engagement teams on individual projects that may have specific data analytic needs
  • Contribute to BU's data analytics strategy, including the evaluation of continuous monitoring techniques by leveraging data and supporting project teams on data analytics-related topics
  • Building models using advanced analytical techniques, including descriptive, prescriptive, and other advanced analytical techniques
  • Support BU in the development of management reporting related to Departmental activities and projects
  • Develop and provide periodic departmental trainings on data analytics

Requirements

  • Bachelor's degree in data sciences or applied Math or Statistics with significant programming experience, Or Computer Sciences with strong Math background
  • 5-6+ years' work experience in a data analytics/science role
  • Proficiency in Python or R and SQL or Q
  • Experience with analyzing complex, high volume, high dimensionality data from varying sources and both structured and unstructured
  • Advanced knowledge of machine learning with solid understanding of data mining, regression, decision trees, and neural networks
  • Knowledge of Model evaluation with techniques such as cross-validation, confusion matrix and ROC curves
  • Proficiency with data visualization and business intelligence platforms such as Tableau, Power BI or similar
  • Self-starter, and ability to communicate effectively and collaborate with traders, portfolio managers and business analysts
  • Skills to communicate complex ideas effectively and willingness to understand the business implications of a wide variety of data

Nice-to-haves

  • Familiarity with financial industry data (Bloomberg, tick level data, etc.)
  • Keen interest to learn new technologies and experiment with innovative solutions
  • Experience with Cloud platforms (AWS or Azure) and technology capabilities
  • Experience working in a continuous integration environment, i.e., automated build and code scanning is preferred
  • Strong interest in the Investment management and Trading functions

Benefits

  • Generous time-off provided: including 'Responsible time off' for many roles, paid company holidays when the US Stock Exchange is closed, plus paid volunteer time
  • Family Focus: Up to 20 weeks of paid leave for new parents, back-up care program, dependent care flexible spending account, adoption assistance, generous caregiver leave
  • Health and Welfare: Competitive medical, vision and dental plans, plus tax-free health savings accounts with company contributions
  • Wellness Programs: Robust wellness webinars, employee assistance program, gym reimbursement through our medical plans, fitness center discounts and more
  • Life & Disability Benefits: Company-paid basic life insurance and short-term disability
  • Financial Benefits: 401(k) savings plan, Defined Contribution plan- 15% of base salary invested into the Plan, competitive total compensation programs

Job Keywords

Hard Skills
  • Power BI
  • Python
  • R
  • SQL
  • Tableau
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