Data Support Engineer for Quant Researchers

Quberesearchandtechnologies

Greater London

On-site

GBP 45,000 - 65,000

Full time

14 days+
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Job summary

Qube Research & Technologies (QRT) seeks a technically skilled Data Support Engineer to assist quantitative researchers and traders in navigating and using extensive datasets. You will support all data users, contribute to documentation, and ensure data quality.

You will onboard new hires, train on data tools and processes, manage JIRA workflows, and help extend data coverage across live collections and backfills.

Qualifications

  • Bachelor's degree in Data Science, Computer Science, Finance, or related field required.
  • Experience in data support, IT helpdesk, or technical support, preferably in finance.
  • Strong command of Python and data libraries.
  • Proficiency with data systems, pipelines, and APIs.
  • Experience with JIRA or similar project management tools.
  • Strong problem-solving, communication, and attention to detail.

Responsibilities

  • Provide first-line support to researchers and traders for data access and usage.
  • Collaborate with data engineers to resolve data issues.
  • Onboard new hires and train them on data tools and processes.
  • Manage JIRA workflows, track support requests, and ensure timely resolution of data issues.
  • Contribute to data documentation.
  • Contribute to extending data coverage (live collection and backfills).

Skills

Python
Data libraries
Problem solving
Communication
Attention to detail

Education

Bachelor's degree in Data Science, Computer Science, Finance, or related field

Tools

JIRA
APIs
Data pipelines
Data systems

Job description

Qube Research & Technologies (QRT) seeks a technically skilled Data Support Engineer to assist quantitative researchers and traders in navigating and using extensive datasets. You will support all data users, contribute to documentation, and ensure data quality.

You will onboard new hires, train on data tools and processes, manage JIRA workflows, and help extend data coverage across live collections and backfills.

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