Teams at JPMorganChase

Design and deliver enterprise-grade machine learning systems and AI-powered applications for banking. Build scalable, secure, distributed applications and automated cloud, desktop, and ML pipelines. Apply MLOps practices for versioning, reproducibility, and observability while collaborating with cloud and site reliability engineering teams. Develop reusable libraries and business-critical, data-intensive solutions, aligning machine learning problems with business objectives. The role may include mentoring or people leadership.

Supports strategy, governance, roadmap development, commercialization, and operational execution for J.P. Morgan’s EMEA Account Solutions portfolio. Partners with product, finance, treasury, operations, technology, legal, compliance, risk, sales, and implementation teams. Defines requirements and customer journeys, coordinates strategic initiatives, analyzes product and market data, prepares executive communications, maintains risk controls, and supports regulatory changes and client-focused product enhancements.

Lead AI controls enablement by translating AI risks into practical controls, partnering with Controls, Business, and Technology to design scalable solutions, perform risk reviews, implement controls, and advise senior stakeholders to ensure compliant AI adoption.