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Data Solutions Specialist - Paris- Multi-Asset Class Systematic Trading - Oxford Knight

Oxford KnightParis🇫🇷France

Quick overview

SeniorityMid Senior
Employment typeFull Time
Work modeHybrid
LocationParis, France
PythonJiraProject Management

Job description

Summary:
Our client is a leading tech-driven quant and systematic hedge fund trading with offices across the globe. They leverage deep knowledge in data, research, technology and trading to deliver high-quality returns. This opportunity offers a dynamic and fast-paced environment with excellent scope for career growth.
They are now looking for a talented individual, with Python expertise, to support quantitative researchers and traders in navigating and using extensive datasets. This team is integral to the firm's success, and you will contribute by collaborating with data engineers to resolve data issues, onboarding new hires to use data tools & processes efficiently, and managing JIRA workflows to ensure timely resolution of data issues.
Requirements:

  • Strong command of Python and data libraries.
  • Experience in data support, IT helpdesk, or technical support, ideally within finance.
  • Proficiency with data systems, pipelines, and APIs.
  • Financial datasets experience, particularly Bloomberg or Reuters, is highly preferred
  • Experience with JIRA or similar project management tools
  • A bachelor's degree in Data Science, Computer Science, Finance, or a related field.

Benefits:
  • Great opportunity to be part of a collaborative, creative environment where you can feel valued for your input
  • Competitive salary + generous benefits
  • Professional and personal development
  • Relaxed, casual culture, with a healthy work-life balance

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.
Contact
If you feel you are a good match, please don't hesitate to get in touch:
Dan Hampton
dan.hampton@oxfordknight.co.uk
(+44) 020 3475 7192
linkedin.com/in/dan-hampton-ab029392

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