Product Solutions - Data and AI - Associate
Aumni
Product Solutions – Data and AI - Associate
Job Information
- Job Identification 210651656
- Job Category Client Solutions
- Business Unit Corporate Sector
- Posting Date 07/30/2025, 03:26 PM
- Locations 25 Bank Street, Canary Wharf, London, Greater London, E14 5JP, GB
- Job Schedule Full time
- Base Pay/Salary NY $72,200.00-$132,000.00
Job Description
As a Senior Product Solutions Data and AI Associate within the CDAO Organization, you will enable JPMC Firmwide teams to deliver AI value from the Fusion Platform Solutions and Services. You will build expertise in one or more Data and AI domains, create and maintain high-quality user documentation and training materials and guide clients in leveraging tools and capabilities to enable their data and analytics outcomes. We are seeking a highly motivated specialist with a good foundational knowledge in Data and AI/ML technologies.
The Chief Data and Analytics Office Product and Platform team is responsible for designing and delivering governance, discovery, access, and data and AI services, empowering JPMorgan Chase teams to accelerate their data and analytics journeys and maximize commercial outcomes. The Chief Data and Analytics Office Product and Platform Client Engagement Team is responsible for account management, solutions, implementation and client service to JPMorgan Chase Lines of Business and Corporate Functions. You have a curious mindset and are interested in learning about internal client use cases. You are a significant contributor to a team that defines and helps clients implement integrated solutions with the Fusion Platform.
Job responsibilities
- Supports internal clients use of the Fusion Platform for providing expertise and guidance on multiple Product capabilities.
- Engages with internal clients to understand their requirements and support implementation of integrated data and ai solutions.
- Represents the CDAO Product Roadmaps, articulating benefits and providing guidance and options on paved paths.
- Develop examples ai/ml experiments, applications and tools including tutorials, reference implementations, and presentations for internal clients.
- Provide feedback to product and engineering teams to help shape product development and strategy.
- Balance multiple tasks, client engagements, and continuous learning to keep up with academic trends.
- Manages office hours to educate, demo and collect feedback and issue from internal clients
- Coordinate across the Product, Engineering and Architecture teams implement integrated solutions
Required qualifications, capabilities, and skills
- Understanding of a wide range of statistical models (for example regression, tree-based methods, artificial neural networks)
- Good programming skills in at least one of the commonly used languages for data analysis (for example Python, R, Scala).
- Experience with applying data science/quantitative modeling to real world, financial use cases.
- Knowledge of open-source data analysis tools and machine learning libraries
- Experience in creating technical documentation and presentations and the ability to present to a technical and non-technical audience.
- Comfortable in a fast-moving environment with often loosely defined tasks where interaction with senior management is required.
- Passion and motivation for constant learning
Preferred qualifications, capabilities, and skills
- Hands-on experience in or solid understanding of
· LLMs, their capabilities and limitations
· Fine-tuning LLMs for specific tasks and applications
· GenAI chatbots/summarization services and GenAI business applications
· Agentic architectures, orchestration patterns and evaluation approaches
· Agentic systems automating complex tasks and decision-making processes
- Knowledge of cloud data science and machine learning services
- Experience with tools for large scale and distributed data analysis (for example Spark)
Understanding of capital markets, corporate finance, banking and/or asset management
About Us
About the Team
Similar Jobs