**Python Software Engineer III (Glasgow, United Kingdom)**
Seniors in JPMorganChase's Market Risk Technology team. Design, develop, and deliver secure & scalable solutions integrating risk management systems. Collaborate cross-functionally, leveraging AI coding assist tools, and improve software resiliency. Should have solid Python proficiency, agile methodologies experience, and understanding of cloud/AI/ML technology. Preferred: front-end familiarity, large language model experience, and market risk knowledge. Foster inclusive teams in a professional development environment. Degree in Tech.
Full Job Description
Location: GLASGOW, LANARKSHIRE, United Kingdom
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. At JPMorganChase, we build technology that matters solutions that empower our risk managers, protect the firm, and shape the future of financial services. Joining our Market Risk Technology team means working at the intersection of engineering excellence and real-world financial impact, where your contributions are visible, valued, and meaningful. Here, you'll grow alongside talented engineers, collaborate across disciplines, and help define what's possible.
As a Software Engineer III at JPMorganChase within the Market Risk Technology team, you will serve as a seasoned member of an agile team, designing and delivering trusted, market-leading technology products in a secure, stable, and scalable way. You will be responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Our team develops the firm's strategic calculation, time series, and scenario management platforms for Firmwide Market Risk integrating with front-office risk management systems to give risk managers the capability to assess financial impact across adverse market scenarios at a firm-wide level.
Job responsibilities
Interface closely with business stakeholders, quantitative research analysts, and upstream and downstream technology teams across the firm to deliver well-integrated, high-quality solutionsExecute software solutions across design, development, and technical troubleshooting, thinking beyond conventional approaches to break down complex technical problemsProduce architecture and design artifacts for complex applications while ensuring design constraints are met throughout the software development lifecycleProactively identify hidden problems and patterns in data, using those insights to drive improvements to coding hygiene and system architectureContribute to software engineering communities of practice and events that explore new and emerging technologiesLeverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standardsApplies 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 automationBuild AI-enhanced user features including search, summarization, and explanation capabilities with a human-in-the-loop approach to ensure correctness, security, and complianceFoster a team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and proficient applied experienceHands-on practical experience in system design, application development, testing, and operational stabilityProfessional development experience with Python, Java, or another object-oriented programming languageSolid understanding of agile methodologies, including continuous integration and delivery, application resiliency, and security practicesDemonstrated knowledge of software applications and technical processes within a technical discipline such as cloud, artificial intelligence, or machine learningOverall knowledge of the Software Development Life CycleExperience communicating effectively with both business-facing customers and technical teamsHands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) 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 expectations
Preferred qualifications, capabilities, and skills
Familiarity with modern front-end technologies and UI development patternsFamiliarity with large language model application patterns and prompt/context engineering techniquesExperience working in financial services or risk technology environmentsExposure to market risk concepts such as Value at Risk, stress testing, or scenario analysis Take your software engineering career to the next level build trusted, scalable market risk technology that drives firm-wide impact. 
