Data Integration Specialist (Python)

Reposted 23 Days Ago
Be an Early Applicant
Paris, Île-de-France, FRA
In-Office
Junior
Financial Services
The Role
Manage extensive datasets for QRT's research and trading platform, integrate alternative datasets, and support Quant and Trader users.
Summary Generated by Built In

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+ years’ experience in a related field
  • Advanced English, both written and verbal communication skills
  • Knowledge of Python and Code Quality Theories 
  • Ability to communicate and understand user needs
  • Structured and unstructured data management expertise is a plus
  • Knowledge of the financial data of equity/derivatives is a plus
  • Intellectual curiosity to learn new technologies
  • Capacity to work with autonomy within a global team

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.

Skills Required

  • 2+ years' experience in a related field
  • Advanced English, both written and verbal communication skills
  • Knowledge of Python and Code Quality Theories
  • Ability to communicate and understand user needs
  • Structured and unstructured data management expertise is a plus
  • Knowledge of the financial data of equity/derivatives is a plus
  • Intellectual curiosity to learn new technologies
  • Capacity to work with autonomy within a global team

Qube Research & Technologies Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Qube Research & Technologies and has not been reviewed or approved by Qube Research & Technologies.

  • Wellbeing & Lifestyle Benefits Office amenities such as free meals, social events, and wellness-focused workspaces are highlighted in multiple locations. Cycle-to-work schemes and onsite classes in Europe further enhance day-to-day quality of life.
  • Leave & Time Off Breadth Two paid volunteer days and corporate donation matching were introduced firmwide. Some locations also cite generous annual leave allowances with options to buy additional days.
  • Healthcare Strength Private medical coverage and life insurance are called out for the UK. Job listings reference health insurance in various regions, though specifics differ by office.

Qube Research & Technologies Insights

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The Company
HQ: London
774 Employees

What We Do

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. We currently have multiple open positions on our website, please get in touch! Our commitments: https://www.qube-rt.com/commitments

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