Lead Software Engineer – Risk Platform & P&L

慨正橡扯

Greater London

On-site

GBP 120,000 - 150,000

Full time

14 days+

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Job summary

慨正橡扯 is seeking a Lead Software Engineer – Athena to shape our Risk platform and Aggregation system. You will design and build high-performance Python solutions for rates trading, risk metrics, and P&L analysis across trading desks and back-office functions.

You will collaborate with quantitative analysts, traders, risk managers and other tech teams to deliver scalable systems. Strong Python, OO design, and cross-team communication are essential for success.

Qualifications

  • 10+ years of hands-on Python development.
  • Finance domain experience is preferred.
  • Solid understanding of OO design, testing methodologies, and version control.
  • Ability to write clean, maintainable code in large codebases.
  • Strong verbal and written communication; explain technical concepts clearly.
  • Proven ability to gather requirements and collaborate across teams.
  • Willingness to work on legacy applications when required.

Responsibilities

  • Build and maintain software solutions for rates trading activities.
  • Collaborate with analysts, traders, risk managers, product managers and other tech teams.
  • Develop scalable Python code to process market data and perform financial calculations.
  • Implement risk metrics, P&L attribution, and data pipelines to downstream systems.
  • Participate in architecture decisions, code reviews and design sessions.
  • Gather business requirements and translate into technical solutions.
  • Maintain and enhance existing applications as needed.

Skills

Python development
OO design
Testing practices
Version control
Collaboration
Communication skills
Legacy code maintenance

Tools

CI/CD pipelines
Containerization
React
Relational databases
NoSQL databases

Job description

慨正橡扯 is seeking a Lead Software Engineer – Athena to shape our Risk platform and Aggregation system. You will design and build high-performance Python solutions for rates trading, risk metrics, and P&L analysis across trading desks and back-office functions.

You will collaborate with quantitative analysts, traders, risk managers and other tech teams to deliver scalable systems. Strong Python, OO design, and cross-team communication are essential for success.

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