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Quant Developer - Python (Commodities)

Qube Research and Technologies
Quant Developer - Python (Commodities)
London, GB
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Job Description

Quant Developer – Python (Commodities)

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

We are looking for a Junior Front-Office Python Developer (2-6 years’ experience) with a Data Engineering slant and an interest in cloud technology to work closely with the Commodities desk in London by integrating large alternative datasets (in the order of TBs) and designing innovative cloud- based solutions to facilitate research and trading to effectively utilize them.

Your future role within QRT:

  • Develop ETL pipelines to integrate and test very large alternative datasets for the Commodities desk in collaboration with quant researchers and data engineering teams.
  • Architect, deploy and manage cloud-based systems for storing and exploring very large alternative datasets in collaboration with the AWS infrastructure team.
  • Monitor, support, debug and extend existing Commodities trading and research infrastructure together with Researchers and Support Engineers.

Your present skill set:

  • Strong understanding and professional experience with Python 3 is a must, as well as proficiency in scientific packages such as Pandas, Numpy, Xarray etc.
  • Cloud platforms (AWS) experience is highly desirable, e.g. S3, Glue, Athena, Lambda, EMR.
  • Experience with GIS Python packages is a plus, e.g. Geopandas, Rasterio etc.
  • Experience with distributed/parallel computing is highly desireable, e.g. PySpark, Dask etc.
  • Experience with meteorological datasets and being able to interpret them is a plus.
  • Familiarity with SQL and NoSQL databases is desirable.
  • Knowledge of testing as part of continuous delivery and integration pipelines.
  • Ability to work in a high-performance, high-velocity environment.
  • Excellent communication skills in English.
  • Capacity to work with autonomy within a global team (Researchers and Data Engineers).

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

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