About this role
Salary: £62,000 - 102,000 per year
Requirements: Formal training or certification on software engineering concepts and proficient applied experienceStrong hands-on data engineering experience with Databricks and AWSHands-on practical experience in system design, application development, testing, and operational stabilityProficiency in coding in PythonSolid understanding of agile methodologies such as CI/CD, application resiliency, and securityOverall knowledge of the Software Development Life CycleCuriosity and foundational understanding of Generative AI, large language models, and AI/ML solutionsHands-on experience using enterprise-authorized AI-assisted software development tools within the work environment, with demonstrated ability to critically evaluate and validate AI-generated outputsUnderstanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectationsExperience working within large-scale financial platforms supporting reporting, reconciliation, or controllership functionsFamiliarity with enterprise-scale data pipelines and event-driven architecturesExposure to audit-ready reporting frameworks or financial data governance practicesExperience contributing to or leading engineering communities of practice Responsibilities: Execute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problemsCreate secure and high-quality production code and maintain algorithms that run synchronously with appropriate systemsProduce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code developmentGather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systemsProactively identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architectureContribute to software engineering communities of practice and events that explore new and emerging technologiesLeverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity, while validating outputs through peer review, automated testing, and secure coding standardsApply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Technologies: AIAWSCI/CDDatabricksMarketingPythonSecurityCloudSupport More:
We are JPMorganChase, a global leader in financial services with a first-class business in a first-class way approach to serving clients. Within our CT AWM Finance platform, we operate at enterprise scale, supporting MIS Finance, Product Controllers, and Regional CFO teams with reliable, audit-ready reporting across approximately 42M accounts, 87M positions, 8M transactions, and 700k manual adjustments. We offer a collaborative corporate functions environment that spans finance, risk, human resources, and marketing, and we value diversity, inclusion, and reasonable accommodations. This is a full-time role.
last updated 36 week of 2026