Senior Product Associate -trust & Security Authentication Platforms and Modeling

JPMorgan Chase JPMorgan Chase · Banking · Wilmington, DE +1 · Consumer & Community Banking

Product Associate role focused on developing and deploying AI/ML models for authentication and identity verification within a financial institution. The role involves understanding user journeys, identifying opportunities for AI/ML solutions, and translating business requirements into technical solutions using advanced modeling techniques like transformers and graph neural networks. Collaboration with data scientists and engineers is key, as is ensuring model performance, scalability, and compliance.

What you'd actually do

  1. 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.
  2. Considers and plans for upstream and downstream implications of new product features on the overall product experience.
  3. 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.
  4. Analyzes, tracks, and evaluates product metrics including work to time, cost, and quality targets across the product development life cycle.
  5. Writes the requirements, epics, and user stories to support product development.

Skills

Required

  • 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

Nice to have

  • 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

What the JD emphasized

  • AI/ML solution development and deployment
  • advanced modeling techniques, including transformer architectures and graph neural networks
  • translate business requirements into robust AI/ML solutions
  • ensure scalability, accuracy, and resilience
  • evolution of our authentication capabilities
  • secure and seamless user experiences
  • Explores and evaluates advanced modeling techniques, such as transformers and graph neural networks
  • Works closely with data science and engineering teams to design, develop, and deploy AI/ML models
  • 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.

Other signals

  • AI/ML is a strategic component
  • develop and deploy AI/ML models
  • enhance our security platforms
  • identity verification and fraud prevention