Lead technical strategy, architecture, and delivery for a large-scale risk analytics and reporting platform. Design scalable Java and React-based applications, govern frontend architecture and design systems, integrate enterprise platforms and data sources, and drive reliability, resiliency, observability, security, and compliance. Partner with Risk, Product, Data, Architecture, and Engineering stakeholders while evaluating AI, machine learning, and generative AI capabilities for analytics, automation, and decision support.
Job Summary
We have an exciting and rewarding opportunity for an experienced Software Engineering Leader to join JPMorgan Chase.
As a Lead Software Engineer within Asset & Wealth Management Risk Technology, you will lead the design, development and evolution of a business-critical risk analytics and reporting platform used by Risk managers and senior leadership across the firm.
You will partner closely with Product, Risk, Data, Architecture, and Engineering teams to deliver secure, scalable and resilient technology solutions that enable better risk oversight, decision making and operational efficiency. In addition to driving delivery and technical excellence, you will help shape the adoption of AI-powered capabilities that enhance analytics, automation and user experience while maintaining strong governance and controls.
This role requires a combination of deep technical expertise, engineering leadership, stakeholder management and a passion for solving complex business and data challenges at scale.
Additional responsibilities:
- Lead the technical strategy, architecture and roadmap for a large-scale risk analytics and reporting platform.
- Lead the evolution of the platform's front-end architecture, including micro-frontend strategies, domain-driven UI design, modular deployment patterns, and reusable user experience capabilities across multiple business domains.
- Define and govern UI architecture standards, design systems, extensibility frameworks, and frontend engineering best practices to enable scalable and consistent product development across teams.
- Partner directly with Risk, Product and Data stakeholders to understand business priorities and translate them into scalable technology solutions.
- Drive platform reliability, resiliency, observability and operational excellence, including root cause analysis and continuous improvement activities.
- Lead integration across multiple internal platforms, services and data sources.
- Evaluate and implement AI, machine learning and generative AI capabilities to improve analytics, user productivity, decision support and workflow automation.
- Ensure solutions meet firm standards for security, controls, governance, resiliency and compliance.
Required qualifications, capabilities and skills
- Formal training or certification in Software Engineering, Computer Science or a related discipline and extensive applied experience.
- Strong hands-on experience with Java and modern application development frameworks.
- Deep experience designing and building modern user interfaces using ReactJS or similar technologies, including micro-frontend architectures, component-based design systems, and scalable frontend engineering patterns.
- Experience working with high-volume data processing, analytics or reporting platforms.
- Proven experience designing and delivering large-scale distributed applications in a complex enterprise environment.
- Strong knowledge of software architecture, design patterns, system integration and API development.
- Strong practical experience with AWS, containerization technologies and cloud-native architectures.
- Experience with CI/CD, automated testing, application resiliency and operational excellence practices.
- Experience leading technical delivery across multiple teams and stakeholders.
- Excellent communication and stakeholder management skills.
Preferred qualifications
- Experience integrating large language models (LLMs), intelligent assistants or AI-driven workflow automation into business applications.
- Understanding of AI governance, model controls, explainability and responsible AI practices.
- Experience delivering analytics, decision-support or risk-management solutions powered by AI technologies.
About UsJ.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorganChase London, England Office
25 Bank Street, Canary Wharf, London, United Kingdom, E14 5JP
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