Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.
Your future role within QRT
This team is integral to the firm’s success. We are seeking a technically skilled Data Support Engineer to support quantitative researchers and traders in navigating and using extensive datasets. You will support all data users, contribute to documentation, and ensure data quality.
- Provide first-line support to researchers and traders for data access ad usage.
- Collaborate with data engineers to resolve data issues.
- Onboard new hires and train them on using data tools and processes efficiently.
- 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)
Your present skillset
- A bachelor’s degree in Data Science, Computer Science, Finance, or a related field.
- Experience in data support, IT helpdesk, or technical support, ideally within 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 skills, communication abilities, and attention to detail.
Base salary range for this position is $150,000 to $180,000 per year.
QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.
From Qube Research & Technologies' posting. See the original
