Rate: Up to £600/day (Outside IR35) Contract Length: 5 month contract Hybrid Model: 3 days per week onsite (City of London) About the Role We’re seeking an experienced Python Developer to join a dynamic team working on critical financial systems. You’ll play a key role in designing and building Python frameworks for loan processing, risk assessment, and financial automation , with a focus on SWIFT banking integrations (payments, receipts, balances). This is a hands-on role requiring strong problem-solving skills, the ability to work independently, and collaboration with senior engineers to deliver scalable solutions. Key Responsibilities ✔ Design, develop, and maintain Python-based applications for loan calculations, invoicing, and financial analysis ✔ Integrate with SWIFT banking services and third-party APIs ✔ Optimise and manage relational (PostgreSQL/MySQL) and NoSQL databases ✔ Work with large datasets for risk modelling, fraud detection, and automation ✔ Ensure compliance with financial security & regulatory standards ✔ Deploy and manage applications on Azure (Functions, CI/CD pipelines, test automation) ✔ Collaborate on framework design and mentor junior developers Essential Skills ✅ Strong Python development (3 years, ideally in financial services) ✅ Experience with PostgreSQL/MySQL & NoSQL databases ✅ Proficiency in RESTful API development & third-party integrations ✅ Familiarity with Bitbucket, CI/CD pipelines, and test automation ✅ Knowledge of cloud platforms (Azure preferred, AWS/GCP acceptable) ✅ Ability to debug, optimise, and improve performance ✅ Understanding of financial algorithms & data processing Desirable Skills Experience with SWIFT banking protocols Knowledge of Azure Functions Frontend skills ( React, Vue, or Angular ) for full-stack contributions Exposure to machine learning/AI for risk/fraud detection How to Apply To be considered, please submit your CV via the Computappoint website . Services offered by Computappoint Limited are those of an Employment Business and/or Employment Agency in relation to this vacancy.