Senior Product Associate -Trust & Security Authentication Platforms and Modeling

JPMorganChase•Wilmington, NC

14h

About The Position

Unleash your expertise in product development and optimization by leveraging user research, analyzing metrics, and collaborating across one of the world’s most innovative financial organizations. AI/ML is a strategic component to enabling secure and frictionless authentication for the millions of Chase customers who access services across channels. This role works at the intersection of data scientists, business, and technology and will focus on understanding user journey of authentication, identifying opportunities of customer interaction data, and developing strategy of AI/ML solution development and deployment. As an AI/ML Product Associate specializing in authentication and identity, you will drive the development and deployment of cutting-edge machine learning models to enhance our security platforms. You will explore and implement advanced modeling techniques, including transformer architectures and graph neural networks, to solve complex challenges in identity verification and fraud prevention. Working closely with data scientists, engineers, and business stakeholders, you will translate business requirements into robust AI/ML solutions, ensuring scalability, accuracy, and resilience. Your contributions will directly support the evolution of our authentication capabilities, enabling secure and seamless user experiences across our platforms.

Requirements

3+ years of experience or equivalent expertise in product management or a relevant domain area
Proficient knowledge of the product development life cycle
Experience in product life cycle activities including discovery and requirements definition
Developing knowledge of data analytics and data literacy
Ability to learn quickly, manage work independently, and be a team player
Ability to engage with developers & stakeholder including - consumers, project management, upstream & peer groups
Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions
Applicants must be authorized to work for any employer in the US. We are not able to provide immigration sponsorship or take over sponsorship of an employment visa at this time.

Nice To Haves

Experience in AI/ML model development and deployment
Experience with advanced machine learning architectures, such as transformers and graph neural networks
Experience working with large-scale, real-time data pipelines and streaming data
Excellent communication skills, with the ability to convey complex technical concepts to both technical and non-technical audiences
Knowledge of AWS/public-cloud and Databricks

Responsibilities

Partners with the Product Manager to identify new product opportunities that reflect the needs of our customers and the market through user research and discovery.
Considers and plans for upstream and downstream implications of new product features on the overall product experience.
Supports the collection of user research, journey mapping, and market analysis to inform the strategic product roadmap and provide insight on potential product features that provide value to customers.
Analyzes, tracks, and evaluates product metrics including work to time, cost, and quality targets across the product development life cycle.
Writes the requirements, epics, and user stories to support product development.
Collaborate with other product teams across Identity and Authentication to ensure AI/ML models are incorporating the latest signals and data
Explores and evaluates advanced modeling techniques, such as transformers and graph neural networks, to enhance authentication and identity solutions.
Works closely with data science and engineering teams to design, develop, and deploy AI/ML models that address complex business challenges.
Monitors model performance and collaborates on continuous improvement initiatives, including model retraining and feature engineering.
Ensures compliance with data privacy, security, and ethical standards throughout the model development lifecycle.
Communicates technical concepts and model outcomes to both technical and non-technical stakeholders, enabling informed decision-making.
Stays current with industry trends and emerging technologies in AI/ML, proactively identifying opportunities to innovate and improve product offerings.