Data Integration Specialist - Python

Qube Research & Technologies · Other US Location

Company

Qube Research & Technologies

Location

Other US Location

Type

Full Time

Job Description

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

  • Your core objective is to manage the multiple and extensive dataset used in the QRT research and trading platform
  • Contributing to design and implementing QRT data store and its API
  • Monitoring fetching processes and data health
  • Integrating alternative datasets
  • Supporting users (Quants & Traders)


Your present skillset

  • 2-10+ years' experience in a related field
  • Advanced knowledge of Python is a must
  • C#, Rust, JavaScript nice to have
  • Previous experience handling and processing large amounts of both structured and unstructured dataΒ 
  • Experience using new age technologies like data-lake, data-mesh in cloud
  • Prior experience in financial assets, market data and it's data vendors is a plus
  • Intellectual curiosity to learn new technologies to build scalable and robust products
  • Capacity to work with autonomy within a global team
  • Advanced English, both written and verbal communication skills required to understand business requirements

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.


Apply Now

Date Posted

11/29/2024

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