Quantitative Engineer
New Yesterday
Job Description
Quant Engineer - Data - London OR Dublin - leading 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 sit closely with Researchers, Developers and Traders and collaborate on a range of technology projects including
- Research enablement work related to trading activities, using a range of data science, analysis, and engineering skills.
- Writing, testing, and deploying Python code that creates new model features, analyses complex datasets, optimizes algorithms/quant code, and defines data orchestration.
- Partnering with researchers in the research development process, and take on coding tasks that optimise research project delivery.
This role offers a unique chance to gain a deep understanding of quant 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.
- 3+ years professional experience in Python including use of NumPy, Pandas and other scientific libraries.
- Experience working in a Linux environment.
- A desire to work closely with Researchers and accelerate their research.
- The ability to self-manage, self-motivate, and seek process improvement opportunities.
- Strong interpersonal and communication skills that enable you to collaborate effectively.
- Attention to detail and ability to react to changing priorities.
Why Join?
- Exceptional compensation and benefits on offer with world class office settings
- Partner with world-class researchers, traders and technologists, seeing tangible results from your work.
- Attractive relocation packages for the successful applicant + 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.
- Location:
- London
- Category:
- Technology
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