Python Developer | Risk Technology | Financial Services |TWE46251

twentyAI · London Area, United Kingdom
LinkedIn

Posted

Jul 09, 2026 (6d ago)

Seniority

Not Specified

Work Model

Not Specified

Type

Not Specified

Category

Backend

Salary

Not specified

Skills

Agile AWS C# Docker NumPy Observability Pandas Python React TypeScript

Description

Company A global financial services organisation with a strong focus on technology, data, and market infrastructure. The business invests heavily in modern engineering practices and develops mission-critical platforms that support trading, risk management, and operational processes across international markets. Role As a Python Developer, you will join a high-performing engineering team responsible for building and enhancing enterprise risk technology. You'll develop scalable backend applications, improve data processing capabilities, and help evolve core risk systems that support business-critical decision-making. Working closely with engineers, product stakeholders, and infrastructure teams, you will contribute to platform modernisation, process automation, and the integration of data across multiple systems. You'll also have the opportunity to leverage modern AI-assisted development tools to improve engineering productivity and software quality. Responsibilities Develop and enhance strategic risk and data processing applications using Python. Design and maintain scalable services supporting complex calculations and large datasets. Integrate data across multiple internal platforms and improve data consistency. Build automation to streamline engineering and operational workflows. Collaborate with engineering, infrastructure, QA, and security teams throughout the software lifecycle. Contribute to documentation, technical standards, and continuous platform improvements. Stay current with emerging technologies and engineering best practices. Key Skills Strong Python software engineering experience, particularly with data-intensive or computational applications. Experience with data processing libraries such as Pandas, NumPy, Polars, PySpark, or asynchronous Python. Knowledge of modern software packaging and deployment tools including Docker and related Python tooling. Experience working with relational and/or NoSQL databases. Exposure to cloud platforms and distributed application development, particularly AWS services. Familiarity with logging, monitoring, and observability tooling. Experience with automated testing and modern software development practices. Comfortable working within Agile development environments. Strong communication skills and collaborative approach to problem-solving. Desirable: Experience with C#, TypeScript, React, or financial services technology. Benefits Opportunity to work on large-scale, business-critical technology platforms. Exposure to modern cloud technologies, data engineering, and AI-assisted software development. Collaborative engineering culture with strong opportunities for learning and career progression. Work on technically challenging projects with real business impact. Competitive salary and comprehensive benefits package. Supportive environment that encourages innovation, continuous improvement, and technical excellence. Next Steps If interested, please apply below or reach out directly [email protected]