Investment Platform Technology Co-op

Wellington Management•Boston, MA
•Hybrid

About The Position

The Technology Co-op position offers a chance to learn about financial technology while working with the Science Research Technology team, which builds the data and technology foundation that powers science-driven investment research across Fixed Income and Equity. The team's work sits at the intersection of data engineering, investment research, and application development, so the Co-op will see firsthand how technology shapes the way investors generate insights and make investment decisions. Depending on interests and team priorities, the Co-op may help onboard new third-party and alternative datasets, build and maintain data pipelines, develop data quality and monitoring checks, or contribute to investor-facing tools that turn complex data into clear, actionable views. The Co-op will be in direct communication with both business and technology stakeholders and will be an integral part of the team.

Requirements

  • The individual must be well organized, resourceful, motivated and have the ability to adjust to changing priorities.
  • Good working knowledge of the Python programming language
  • Ability to manage multiple priorities simultaneously
  • Strong analytical and problem-solving skills
  • A team-orientation, and willingness to “pitch in” when necessary
  • Only Northeastern University students are eligible for this program.

Nice To Haves

  • familiar in data analysis using Python (Pandas, Pyspark etc.)
  • knowledgeable in building data solutions on cloud (AWS, Azure etc.)

Responsibilities

  • Partner with data scientists to understand requirements and translate them to actionable work items.
  • Participate in technical design of solutions
  • Develop data pipelines to onboard datasets
  • Evaluate and onboard alternative datasets, including web-scraped and other non-traditional sources.
  • Participate in cutting-edge projects that use AI to enhance the quality of data analytics for investment research.
  • Enable data analysis and data quality using various tools
  • Test, rollout applications and help with solution adoption.

Benefits

  • retirement plan
  • health and wellbeing
  • dental
  • vision
  • pharmacy coverage
  • health savings account
  • flexible spending accounts
  • commuter program
  • employee assistance program
  • life and disability insurance
  • adoption assistance
  • back-up childcare
  • tuition/CFA reimbursement
  • paid time off (leave of absence, paid holidays, volunteer, sick and vacation time)
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