At a Glance
- Tasks: Collaborate with researchers and traders to optimise trading activities using data science and Python.
- Company: Leading trading firm known for exceptional compensation and benefits.
- Benefits: Competitive salary, relocation packages, remote work allowance, and career growth opportunities.
- Other info: Dynamic environment with world-class professionals and supportive culture.
- Why this job: Gain deep insights into quant trading while leveraging your tech skills for real impact.
- Qualifications: 2+ years in Python, strong Pandas experience, and a STEM degree.
The predicted salary is between 48000 - 72000 £ per year.
Quant Data Engineer - London - leading trading firm - exceptional comp & bens
Our world-renowned client is looking to hire a Quant Data Engineer in London 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, analyzes 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
5+ years professional experience and strong competency in Python , including use of NumPy and other scientific libraries.
A passion for working with data / dataframes and solving data-related challenges. Strong Pandas experience is required.
Minimum bachelors degree in a STEM subject at a reputable academic institution.
A desire to work closely with Researchers and accelerate their research, ideally within the finance sector .
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.
Experience working in a Linux environment.
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.
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Engineering, Research, and Information Technology
Industries
Capital Markets, Financial Services, and Data Infrastructure and Analytics
London, England, United Kingdom
Quantitative Data Engineer in London employer: Vertex Search
Join a dynamic and innovative start-up that is at the forefront of AI technology, where your contributions as a Senior Machine Learning Engineer will directly impact the development of cutting-edge solutions. With a strong emphasis on employee growth, a collaborative work culture, and generous benefits including 35 days of paid vacation and private healthcare, this role offers a unique opportunity to thrive in a fast-paced environment while enjoying a healthy work-life balance. Located in vibrant cities like London or Paris, you will be part of a team that values creativity and ownership, making it an excellent employer for those seeking meaningful and rewarding work.
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We think you need these skills to ace Quantitative Data Engineer in London
Some tips for your application 🫡
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