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Senior Product Associate -Trust & Security Authentication Platforms and Modeling

Job in High Point, Guilford County, North Carolina, 27264, USA
Listing for: 慨正橡扯
Full Time position
Listed on 2026-05-29
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Science Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

JOB DESCRIPTION

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 the user journey of authentication, identifying opportunities in customer interaction data, and developing strategy for AI/ML solution development and deployment.

Job Summary

As a Senior Product Associate in Trust & Security Authentication Platforms and Modeling, you will contribute to the team by leveraging your expertise in product development and optimization to make a significant impact, supported by user research and customer feedback to fuel the creation of innovative products and continuously improve existing offerings. Collaborate closely with cross‑functional teams and play a crucial role in shaping the future of our products and ongoing success.

Job Responsibilities
  • Partner with the Product Manager to identify new product opportunities that reflect the needs of our customers and the market through user research and discovery.
  • Consider and plan for upstream and downstream implications of new product features on the overall product experience.
  • Support the collection of user research, journey mapping, and market analysis to inform the strategic product roadmap and provide insight on potential product features that bring value to customers.
  • Analyze, track, and evaluate product metrics including work to time, cost, and quality targets across the product development life cycle.
  • Write the requirements, epics, and user stories to support product development.
  • Collaborate with other product teams across Identity and Authentication to ensure AI/ML models incorporate the latest signals and data.
  • Explore and evaluate advanced modeling techniques, such as transformers and graph neural networks, to enhance authentication and identity solutions.
  • Work closely with data science and engineering teams to design, develop, and deploy AI/ML models that address complex business challenges.
  • Monitor model performance and collaborate on continuous improvement initiatives, including model retraining and feature engineering.
  • Ensure compliance with data privacy, security, and ethical standards throughout the model development lifecycle.
  • Communicate technical concepts and model outcomes to both technical and non‑technical stakeholders, enabling informed decision‑making.
  • Stay current with industry trends and emerging technologies in AI/ML, proactively identifying opportunities to innovate and improve product offerings.
Required Qualifications , Capabilities, and Skills
  • 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 & stakeholders including consumers, project management, upstream & peer groups.
  • Strong analytical and problem‑solving skills, with the ability to translate business requirements into technical solutions.
Preferred Qualifications , Capabilities, and Skills
  • 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.
Other Requirements

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. Final job grade level and corporate…

Position Requirements
10+ Years work experience
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