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.
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
Counterparty Risk
Clearing Risk
Operational Risk
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
Work with modern AI-assisted development tooling where appropriate
Python
AWS cloud technologies
Relational and non-relational databases
CI/CD and automated testing
Agile/Scrum delivery environments
Strong Python engineering experience with focus on scalable backend or data-intensive systems
Experience building applications involving complex calculations or large-scale processing
Strong understanding of software engineering best practices, testing and automation
Experience operating within regulated or financial services environments is beneficial
The role offers strong long-term growth potential within a modernising technology function supporting commercially critical business areas.
or continue with email
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
Counterparty Risk
Clearing Risk
Operational Risk
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
Work with modern AI-assisted development tooling where appropriate
Python
AWS cloud technologies
Relational and non-relational databases
CI/CD and automated testing
Agile/Scrum delivery environments
Strong Python engineering experience with focus on scalable backend or data-intensive systems
Experience building applications involving complex calculations or large-scale processing
Strong understanding of software engineering best practices, testing and automation
Experience operating within regulated or financial services environments is beneficial
The role offers strong long-term growth potential within a modernising technology function supporting commercially critical business areas.
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