Investment Platform Tech Co-op: Data Pipelines & AI

re-zoo-me

Boston (MA)

Hybrid

USD 54,663,000 - 100,289,000

Part time

5 days ago
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Benefits offered by this job

Hybrid work schedule
Office 4 days/week, remote 1 day

Job summary

Wellington Management is seeking a Technology Co-op to learn financial technology within the Science Research Technology team, contributing to data pipelines and data-quality checks that power investment research across Fixed Income and Equity.

You will engage with business and technology stakeholders, explore third-party datasets, and contribute to investor-facing tools while gaining exposure to data engineering and analytics in a finance setting.

Qualifications

  • Strong knowledge of Python and data analysis.
  • Experience with data pipelines and AI in analytics.
  • Familiarity with cloud data platforms (AWS/Azure).
  • Able to manage multiple priorities.
  • Strong problem-solving skills.
  • Team-oriented and collaborative.

Responsibilities

  • Partner with data scientists to translate requirements into work items.
  • Participate in technical design of solutions
  • Develop data pipelines to onboard datasets
  • Evaluate and onboard alternative datasets, including web-scraped sources
  • Participate in projects using AI to improve data analytics for investment research
  • Enable data analysis and data quality using various tools
  • Test, rollout applications and help with solution adoption.

Skills

Python
Data analysis with Python
Time management
Analytical thinking
Team player

Tools

AWS
Azure
Pandas
PySpark

Job description

Wellington Management is seeking a Technology Co-op to learn financial technology within the Science Research Technology team, contributing to data pipelines and data-quality checks that power investment research across Fixed Income and Equity.

You will engage with business and technology stakeholders, explore third-party datasets, and contribute to investor-facing tools while gaining exposure to data engineering and analytics in a finance setting.

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