An innovative organisation in the global quantitative investment management space is looking for a Software Engineer. This role sits within the engineering team responsible for the ingestion, transformation, storage, and delivery of market, position, and reference data into critical risk systems.

What You'll Be Doing

• Develop and maintain production data pipelines supporting risk analytics platforms.
• Build reliable, recoverable, and observable data workflows to ensure data freshness.
• Engineer performant Python applications for large-scale data processing and transformation.
• Optimise analytical data stores and query performance for critical risk systems.
• Contribute to monitoring, alerting, and operational reliability across all data services.
  
  

What We're Looking For

• Proven experience building and operating production-grade data pipelines.
• Strong Python development skills with a focus on maintainable and performant code.
• Experience with workflow orchestration tools such as Airflow, Dagster, or Prefect.
• Deep understanding of analytical or columnar databases like ClickHouse.
• Proficiency with data processing libraries including NumPy, pandas, Polars, or Arrow.
  
  

What's On Offer

• Performance-related bonus scheme.
• Hybrid working model in a central London location.
• Opportunity to work on high-impact quantitative trading infrastructure.
• Collaborative environment with industry-leading engineering standards.
• Professional development and technical growth opportunities.
  
  

Apply via Hyra to be considered for this opportunity.