Data Core Software Engineer for Trading & Analytics

Qube Research & Technologies; Greater London; On-site; GBP 75,000 - 110,000; Full time

Job summary

Qube Research & Technologies (QRT) invites you to join its Data team as a Software Engineer, working at the intersection of engineering, trading, and research. You will deliver scalable systems for reference data management, regulatory and external reporting, and front-office analytics, with visibility across Execution, Engineering and Research teams.

You'll design services to process reference data across asset types, automate corporate actions, and build reporting infrastructure for end-of-day

Qualifications

• Expert-level Python development with solid system design and architecture.
• Proven production experience with C# in a professional environment.
• Familiarity with relational databases and SQL.
• Understanding of testing strategies as part of CI/CD workflows.
• Excellent communication and ability to collaborate across teams.

Responsibilities

• Design and develop scalable services to process and distribute reference data across asset types.
• Automate lifecycle events such as corporate actions and coupon payments across instruments.
• Build and maintain systems for internal and external reporting (end-of-day, compliance, regulatory).
• Develop real-time and batch reporting infrastructure for front-office consumption.
• Collaborate with research and execution teams to align data pipelines with trading workflows.
• Implement automated testing and maintain CI/CD pipelines for delivery assurance.
• Contribute to systems integration between Python- and C#-based components.

Skills

Python development

C#

SQL & relational DBs

CI/CD

Communication

Job description

Qube Research & Technologies (QRT) invites you to join its Data team as a Software Engineer, working at the intersection of engineering, trading, and research. You will deliver scalable systems for reference data management, regulatory and external reporting, and front-office analytics, with visibility across Execution, Engineering and Research teams.

You'll design services to process reference data across asset types, automate corporate actions, and build reporting infrastructure for end-of-day