What are the responsibilities and job description for the Product Delivery Associate- ML Model Delivery Services (Consumer & Community Banking Risk) position at JPMorgan Chase?
Bring your Expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.
As a Product Associate (602) within Consumer & Community Banking Risk, you help deliver against the product vision and roadmap for model delivery across Consumer & Community Banking Risk. Consumer & Community Banking Risk is investing in innovative, scalable ways to manage risk across the Consumer & Community Banking portfolio—and the Machine Learning Model Delivery Services team is at the center of that transformation. We build the product strategy, platform capabilities, and operating model that move models from concept to controlled, auditable, and well-monitored production execution. We’re hiring a Product Associate (602) to help deliver against the product vision and roadmap for model delivery across Consumer & Community Banking Risk.
Job Responsibilities
- Define and drive the product strategy, target-state vision, and roadmap for ML Model Delivery Services across the CCB Risk model portfolio.
- Partner with Risk Architecture, Risk Technology, Modeling, and Risk Strategy to align priorities, requirements, and platform decisions into a cohesive delivery strategy.
- Lead cross-functional prioritization and trade-offs to balance speed, control, auditability, and scalability across concurrent initiatives.
- Establish and run governance to track milestones, decisions, risks, dependencies, and escalations—ensuring clear accountability and timely execution.
- Drive integrated solutions for production model implementation, data validation frameworks, and monitoring/reporting capabilities.
- Define analytics and reporting to monitor delivery health and model execution, surface insights, and proactively flag issues.
- Standardize processes and operating routines to strengthen operational excellence, consistency, and transparency across deployments.
Required qualifications, capabilities, and skills
- Bachelor’s or Master’s degree in Computer Science, Business Management, or comparable field (or equivalent practical experience).
- 5 years in product management, program management, business/technology architecture, or a related role with demonstrated strategic ownership.
- Strong leadership skills across cross-functional teams; ability to influence and align stakeholders at multiple levels.
- Excellent written and verbal communication—comfortable translating technical concepts for non-technical audiences and vice versa.
- Strong Agile experience (roadmaps, backlogs, iterative delivery, dependency management).
- Quantitative orientation: ability to interpret model/data concepts and convert them into product requirements, controls, and reporting needs.
- Working knowledge of Python, Scala, SAS, and/or SQL (authoring or interpretation), plus comfort engaging with engineers and modelers on implementation details.
Preferred qualifications, capabilities, and skills
- Experience with model delivery lifecycle (implementation, monitoring, validation, performance testing) and/or risk analytics.
- Familiarity with modern data platforms (big data ecosystems, cloud), data management tools, and visualization/reporting solutions.