Senior Python Engineer

Our client is a global financial services and market infrastructure business operating across commodities, energy and financial markets. They provide liquidity, execution, clearing and risk solutions to a broad institutional client base including banks, hedge funds, asset managers, traders and producers.

With an international footprint and significant market presence across exchange-traded and OTC markets, technology plays a critical role in enabling the scale, reliability and sophistication of their services.

This role sits within a business-facing Risk Technology team focused on building and enhancing strategic risk systems and analytics platforms used across multiple areas of the business.

The successful candidate will join a team responsible for developing scalable risk engines and improving complex calculation, reporting and data-processing workflows across areas such as:

• Market Risk
• Counter party Risk
• Clearing Risk
• Operational Risk
• Exposure and VaR/CVaR calculations

This is a highly collaborative role sitting close to both technology and business stakeholders, offering strong exposure to quantitative risk processes, large-scale data engineering challenges and modern cloud-based engineering practices.

• Develop and enhance strategic risk engine applications and supporting infrastructure
• Build scalable numerical-processing systems and high-volume data workflows
• Improve automation, reporting and operational efficiency across risk platforms
• Integrate and standardise data across internal and vendor systems
• Work closely with Risk, Platform Engineering, Application Support and wider technology teams
• Contribute to architecture discussions, testing strategy and engineering best practices
• Identify opportunities for process improvement and platform optimisation
• Work with modern AI-assisted development tooling where appropriate

• Python
• Async processing / coroutines
• AWS cloud technologies
• Databricks
• Docker
• Relational and non-relational databases
• CI/CD and automated testing

• Strong Python engineering experience with focus on scalable backend or data-intensive systems
• Experience building applications involving complex calculations or large-scale processing
• Exposure to cloud-native technologies and distributed systems
• Strong understanding of software engineering best practices, testing and automation
• Experience operating within regulated or financial services environments is beneficial
• Strong communication and stakeholder engagement skills

The team are looking for engineers who are collaborative, technically curious and comfortable operating within a fast-paced environment. The role offers strong long-term growth potential within a modernising technology function supporting commercially critical business areas.