Location: Jersey City, NJ, United States

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.

Model Risk Governance and Review (MRGR) is a global team of modeling experts within the firms Risk Management and Compliance organization.  Within MRGR, the Chief Operating Office (COO) supports model risk stakeholders in their review and governance activities, with responsibility for: model risk policy, procedures and process engineering; product ownership and software development for model risk technology and analytics; execution of various model risk governance processes, model risk committees and reporting, project management of the review and governance pipeline, as well as regulatory, audit and key capital stress testing exercises; and general business management.

As a senior product associate you will be a key member of the MRGR Product Team within MRGR COO. You will collaborate with model risk stakeholders and technology partners to design specification of processes and technical solutions that support MRGRs effective management of Model Risk, which includes tooling to support validation, inventory governance and reporting.  Additionally, you will work closely with technology & UI/UX teams to ensure development is budgeted, prioritized and implemented effectively

Job Responsibilities

• Contribute to the design, development and deployment of GENAI/LLM tools. 
• Be responsible for defining product requirements and creating detailed specifications.
• Document product features, user stories, and acceptance criteria.
• Conduct testing and other experiments to evaluate the impact of product changes.
• Conduct usability testing and gather feedback to improve the user experience.
• Maintain and update product documentation and knowledge bases.
• Track project timelines and milestones to ensure timely delivery of product features.
• Identify and mitigate risks and issues that may impact the product development process.
• Identify critical dependencies/issues and present recommendations for resolution.
• Provide support to user groups by answering product-related questions and resolving issues.
• Assist in creating training materials and conducting training sessions for internal teams and customers.

 

Required Qualifications, Capabilities and Skills 

• Bachelors Degree
• 5+ years of experience in the financial services or fin-tech industry
• 3+ years of Product Management / Development experience with AI and Machine Learning applications 
• Expertise in Generative AI, including Large Language Models (LLMs) prompt design and fine-tuning techniques 
• Strong, clear, and concise written and verbal communication with ability to edit and prepare executive level communications
• Excellent organizational skills and attention to detail
• Ability to manage competing priorities under tight deadlines
• Proven ability to collaborate and build strong partnerships
• Intellectual curiosity with a proven ability to learn quickly and high degree of initiative, self-direction, and ability to work well under pressure

Preferred Qualifications, Capabilities and Skills 

• Experience within large Financial Services firms and basic level of domain knowledge in Model Risk Management
• Advanced knowledge of the Product Development Lifecycle with proven ability to lead Product Lifecycle activities including discovery, ideation, strategic development, requirements definition and go to market..
• Strong UI/UX designing skills or experience working with Technology and UX Design colleagues and discussing technical designs. 

Senior product associate of the MRGR Product Team focused on design & development of GENAI/LLM Tools