Develop modern user experiences, dashboards, and exception management capabilities using React and TypeScript.
Contribute to the software delivery lifecycle, including design, development, testing, deployment, and production support.
Leverage enterprise-authorized AI-assisted engineering tools to accelerate software delivery, testing, troubleshooting, and documentation.
Contribute to the development of intelligent automation capabilities that improve operational efficiency and control effectiveness.
Evaluate and adopt emerging AI and agentic technologies to support the evolution of the regulatory reporting platform.
Design, implement, and optimize controls that enhance data quality, reporting accuracy, and regulatory compliance.
Build resilient, observable, and secure systems that operate reliably within a highly regulated environment.
Required Qualifications, Capabilities, and Skills
Formal training or certification in software engineering concepts and applied development experience.
Experience developing enterprise applications using Java and Spring Boot.
Experience building modern web applications using React, TypeScript, or similar frontend frameworks.
Knowledge of software design, application architecture, and distributed systems.
Experience building and consuming RESTful APIs and integrating with relational databases.
Experience building and deploying cloud-native applications, preferably on AWS.
Understanding of CI/CD, automated testing, and agile development methodologies.
Experience using engineering productivity and AI-assisted development tools within the software development lifecycle.
Strong analytical, problem-solving, and communication skills with the ability to collaborate effectively across technical and non-technical teams.
Preferred Qualifications, Capabilities, and Skills
Experience within financial services, capital markets, regulatory reporting, or other highly regulated environments.
Knowledge of regulatory reporting domains such as MiFID, EMIR, SFTR, ASIC, MAS, or related frameworks.
Experience building large-scale data processing and data-intensive applications.
Experience with event-driven architectures, messaging platforms, and streaming technologies.
Experience with observability, monitoring, and production support practices.
Experience using AI-assisted software engineering tools to improve development productivity and software quality.
Familiarity with artificial intelligence, large language models, intelligent automation, or agentic workflow concepts.
Experience applying automation and AI technologies to operational processes, investigation workflows, or decision-support capabilities.
Interest in shaping the future application of AI across enterprise-scale regulatory reporting and controls platforms.
About the Team
Asset Management Global Regulatory Reporting Technology is responsible for Mercury, the strategic regulatory reporting platform supporting the firm’s obligations across multiple jurisdictions and asset classes. We partner closely with Compliance, Operations, and business stakeholders to deliver scalable, resilient, and innovative technology solutions that ensure regulatory compliance while driving operational efficiency. Mercury’s modern AWS-based architecture is central to our long-term regulatory technology strategy, and our engineers are at the forefront of a multi-year modernization journey focused on cloud-native engineering, intelligent automation, advanced data quality controls, and the responsible adoption of AI technologies. Join us to help define the future of regulatory reporting at JPMorganChase.
