Senior Backend Engineer (Java/Python) for Risk & Trading in London

Senior Backend Engineer (Java/Python) for Risk & Trading in London

London Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Hunter Bond

At a Glance

  • Tasks: Build and enhance backend platforms for risk and trading using Java and Python.
  • Company: Hunter Bond, a leader in financial technology solutions.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Collaborate with diverse teams and work on large-scale datasets.
  • Why this job: Join a fast-paced environment and make an impact on financial analytics and reporting.
  • Qualifications: Experience in Java/Python and knowledge of scalable distributed systems.

The predicted salary is between 60000 - 80000 Β£ per year.

Hunter Bond is seeking an experienced Java/Python Engineer to build and enhance backend platforms that support risk, trading and data workflows.

The role emphasizes scalable distributed systems, large-scale datasets and robust backend delivery within a fast-paced financial environment.

You will develop Java and Python services, APIs and data pipelines while collaborating with risk, front-office and engineering stakeholders to deliver reliable analytics, reporting and downstream processing.

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Senior Backend Engineer (Java/Python) for Risk & Trading in London employer: Hunter Bond

Hunter Bond is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets collaboration. With a strong focus on employee growth and development, team members benefit from competitive compensation, comprehensive benefits, and the opportunity to work alongside a talented, low-ego team dedicated to pushing the boundaries of technology in trading systems.

Hunter Bond

Contact Details:

Hunter Bond Recruitment Team

We think you need these skills to ace Senior Backend Engineer (Java/Python) for Risk & Trading in London

Java
Python
Backend Development
API Development
Data Pipelines
Scalable Distributed Systems
Large-Scale Datasets