Lead Python Engineer – AI-Driven Risk Tech

JP Morgan Chase

Glasgow

On-site

GBP 150,000 - 190,000

Full time

9 days ago

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Job summary

JPMorganChase is seeking a Lead Software Engineer (Vice President) to join the Market Risk Technology team. You will drive secure, scalable production code and lead Python service and API design for risk workflows, collaborating with analytics, front-office risk management systems, and enterprise teams.

You will champion AI-assisted development practices, review architecture, and guide teams in safe, responsible use of AI in engineering.

Qualifications

Formal training or certification in software engineering concepts.
Advanced development experience in Python, Java, or another object-oriented programming language.
Hands-on practical experience delivering system design, application development, testing, and operational stability.
Proficient in all aspects of the Software Development Life Cycle, including automation and continuous delivery methods.
Advanced understanding of agile methodologies, including continuous integration and delivery, application resiliency, and security practices.
Demonstrated proficiency in software applications and technical processes within a technical discipline such as cloud, artificial intelligence, or machine learning.
In-depth knowledge of the financial services industry and its technology systems.
Practical cloud-native development experience.
Experience communicating effectively with both business-facing customers and technical teams.
Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.

Responsibilities

Interface closely with business stakeholders, quantitative research analysts, and upstream and downstream technology teams across the firm to deliver well-integrated, high-quality solutions.
Execute creative software solutions across design, development, and technical troubleshooting, thinking beyond conventional approaches to break down complex technical problems.
Develop secure, high-quality production code while reviewing and debugging code written by others to maintain engineering excellence.
Identify opportunities to eliminate or automate remediation of recurring issues to improve the overall operational stability of software applications and systems.
Lead Python service and API design and delivery for risk workflows, ensuring scalability, reliability, and alignment with architectural standards.
Lead evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented assessment of architectural designs, technical credentials, and applicability within existing systems.
Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes, while establishing consistent validation standards and promoting reuse of effective patterns across the team.
Applies 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.
Build AI-enhanced user features — including search, summarization, and explanation capabilities — with a human-in-the-loop approach to ensure correctness, security, and compliance.
Foster a team culture of diversity, opportunity, inclusion, and respect