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Vertex Search

Quantitative Engineer

Vertex Search
Ireland · Full-time · Mid-Senior

Quantitative Engineer - Dublin - leading global trading firm - exceptional comp & bens


Our world-renowned client is looking to hire into a varied role at the intersection of technology, data science, and quantitative research.


Responsibilities

As part of the Quant Engineering and Data team, you’ll collaborate closely with Researchers, Developers and Traders to

  • Analyze data and develop datasets for cutting-edge research and trading opportunities.
  • Build and maintain robust data pipelines, driving research productivity and innovation.
  • Automate processes and introduce tools to enhance research performance.
  • Collaboratively solve technology problems related to trading.


This role offers a unique chance to gain a deep understanding of quantitative trading while leveraging your technical expertise to drive results.


What you'll bring

  • Minimum bachelors degree in a STEM subject at a reputable academic institution.
  • 1+ years of professional Python experience (hands on NumPy & Pandas experience required)
  • Excellent data skills.
  • A collaborative mindset and a passion for enabling research.
  • Strong interpersonal, communication, and problem-solving skills.
  • Detail-oriented with the ability to adapt to shifting priorities.
  • A keen interest in quantitative trading. Prior experience within Options or Fixed Income is advantageous but not required,


Why Join Us?


  • Exceptional compensation and benefits on offer
  • Partner with world-class researchers and traders, seeing tangible results from your work.
  • Attractive relocation packages for the successful applicant + their family
  • Grow your career in a dynamic and supportive environment.
  • Annual remote working allowance


Vertex Search is acting as a recruitment agency on this requirement.

Key Skills

Ranked by relevance

technical expertise python pandas numpy
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Posted
Jan 27, 2025
Type
Full-time
Level
Mid-Senior
Location
Dublin

Industries

Capital Markets Investment Management Financial Services

Categories

Engineering Research Information Technology

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