Senior Python Engineer - Optimisation & Data Pipelines

London Stock Exchange Group

City of Westminster

On-site

GBP 65,000 - 95,000

Full time

3 days ago
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Benefits offered by this job

Healthcare
Retirement planning
Volunteering days
Wellbeing initiatives

Job summary

London Stock Exchange Group is seeking a mid-level Python Developer to join a highly collaborative engineering team. You will contribute to building systems powering large-scale optimisation runs used by global financial institutions, validating client data, and delivering reliable outputs securely and efficiently.

The role centers on Python backend development with AWS, PostgreSQL, Redshift/Snowflake, and S3.

Qualifications

  • Strong Python skills.
  • Experience with trade booking, middle-office, or post-trade systems; familiarity with MarkitWire, FpML, or FIX.
  • Familiarity building data-intensive applications, including PyData stack.
  • Strong problem-solving, communication, and collaboration skills.
  • Familiarity with Unix/Linux, Git, and SQL.

Responsibilities

  • Design, build, and deliver high-quality software solutions both independently and as part of a wider engineering team
  • Develop APIs and backend services for scenario generation and integration with quantitative libraries
  • Evaluate and improve the performance, effectiveness, and reliability of system components
  • Validate and process client data accurately and securely
  • Identify and implement opportunities to automate processes and workflows
  • Generate structured reports and formatted output files for delivery to clients and third-party APIs

Skills

Python
PyData stack
Unix/Linux
Git
SQL

Job description

London Stock Exchange Group is seeking a mid-level Python Developer to join a highly collaborative engineering team. You will contribute to building systems powering large-scale optimisation runs used by global financial institutions, validating client data, and delivering reliable outputs securely and efficiently.

The role centers on Python backend development with AWS, PostgreSQL, Redshift/Snowflake, and S3.

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