Overview
Principal Recruitment Consultant | Tech Talent Recruiter
About the Company
Our client is a global leader in quantitative research and technology-driven trading, renowned for combining advanced mathematics, innovative engineering, and deep market expertise. With teams spanning across key financial hubs worldwide, they leverage data, technology, and collaboration to identify opportunities and drive market innovation. The Dublin office is a growing center of excellence, offering talented engineers and researchers the chance to work on high-impact projects in a fast-paced, intellectually stimulating environment.
Role Overview:
We are seeking highly analytical engineers with strong mathematical and technical foundations to join a fast-growing quantitative data team in Dublin. This group partners directly with researchers and trading strategy developers, providing the datasets, pipelines, and tools that power cutting-edge quantitative research.
Responsibilities
* Work closely with quantitative researchers and strategy developers to source, cleanse, and structure complex datasets.
* Design, build, and maintain scalable data pipelines that accelerate research workflows.
* Apply strong coding skills to improve processes, automate tasks, and optimize performance.
* Collaborate in a highly technical, research-driven environment where precision and problem-solving are key.
Requirements
* Strong academic track record, ideally a 1st class degree in Mathematics, Physics, Engineering, or another quantitative discipline; PhD highly desirable.
* Expertise in Python (NumPy, Pandas, and the broader scientific stack).
* Engineers first: proven ability to build and maintain systems, not just analyze.
* Strong problem-solving mindset, with the ability to thrive in a fast-paced, collaborative environment.
* Role is onsite in Dublin, with 2 work-from-home days per month.
* Excellent opportunity to gain exposure to quantitative research and trading while building next-generation data systems.
Senioriry level
* Mid-Senior level
Employment type
* Full-time
Job function
* Information Technology
Industries
* Technology, Information and Media
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