Quantitative Data Engineer

Vertex Inc.; City Of London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A global technology firm in London is seeking a skilled professional to join their Quant Engineering and Data team. The role requires 5+ years of strong Python expertise and a passion for solving data challenges. Responsibilities include enabling trading-related research, writing and deploying Python code, and collaborating with researchers. The position offers exceptional compensation, benefits, and opportunities to grow in a dynamic, supportive environment with potential for relocation support.

Benefits

Exceptional compensation and benefits

Partner with world-class researchers

Attractive relocation packages

Annual remote working allowance

Qualifications

• 5+ years of professional experience with strong competency in Python, including scientific libraries.
• Passion for data, strong experience with Pandas.
• Ability to self-manage and self-motivate.

Responsibilities

• Enable research related to trading activities using data science and engineering skills.
• Write, test, and deploy Python code for model features and data analysis.
• Collaborate with researchers to optimize project delivery.

Skills

Python

NumPy

Pandas

Data analysis

Linux

Education

Bachelor's degree in a STEM subject

Job description

Overview

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 :

Responsibilities

• 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.

Qualifications

• 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.

Benefits

• 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.