Quantitative Data Engineer: Build Financial Datasets

Quberesearchandtechnologies

Greater London

On-site

GBP 70,000 - 100,000

Full time

9 days ago
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Job summary

Qube Research & Technologies (QRT) is seeking a data engineer to join a global quantitative team in London. You will collaborate with Quant Researchers and Traders to design, extract, clean and onboard data for systematic strategies and discretionary trading decisions.

You will manage data ingestion from various sources, ensure data quality, and implement robust extraction processes in a fast-paced, high-performance environment. This role focuses on reliable datasets for research and trading.

Qualifications

  • Advanced Python development experience with data-focused libraries.
  • Experience with financial datasets and data onboarding processes.
  • Strong emphasis on data quality and correctness across datasets.

Responsibilities

  • Collaborate with Quant Researchers and Traders to design datasets for systematic strategies and discretionary trading decisions.
  • Extract, clean and aggregate data from diverse raw sources using the data framework.
  • Own onboarding of new datasets from assessment to production.
  • Investigate data issues to speed up dataset availability for users.
  • Develop robust data extraction processes with focus on correctness and data quality.
  • Explore and implement new data extraction approaches to handle complex datasets.

Skills

Python
Pandas
Polars
NumPy
SQL
Data quality
Communication
High-performance environment

Tools

Pandas
Polars
NumPy

Job description

Qube Research & Technologies (QRT) is seeking a data engineer to join a global quantitative team in London. You will collaborate with Quant Researchers and Traders to design, extract, clean and onboard data for systematic strategies and discretionary trading decisions.

You will manage data ingestion from various sources, ensure data quality, and implement robust extraction processes in a fast-paced, high-performance environment. This role focuses on reliable datasets for research and trading.

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