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- Tasks: Shape the future of data and AI, driving impactful solutions and supporting client journeys.
- Company: Join JPMorgan Chase, a global leader in financial services with a focus on innovation.
- Benefits: Opportunities for career growth, collaboration, and continuous learning in a dynamic environment.
- Why this job: Make a real difference with cutting-edge tech while growing your expertise in data and AI.
- Qualifications: Understanding of statistical models, programming skills, and a passion for continuous learning.
- Other info: Diverse and inclusive workplace valuing your unique contributions.
The predicted salary is between 36000 - 60000 £ per year.
Join us to help shape the future of data and AI at JPMorgan Chase. You’ll have the opportunity to work with cutting-edge technologies and collaborate with talented teams across the firm. Your expertise will drive impactful solutions, accelerate innovation, and support our clients’ data and analytics journeys. We value curiosity, continuous learning, and a passion for making a difference. Discover a role where your contributions matter and your growth is supported.
Responsibilities
- As a Product Solutions – Data and AI - Associate in the Chief Data and Analytics Office Product and Platform Client Engagement Team, guide internal clients in leveraging the Fusion Platform’s capabilities to achieve their data and analytics goals.
- Build expertise in Data and AI domains, create high-quality documentation and training materials, and support the implementation of integrated solutions.
- Collaborate across product, engineering, and architecture teams, helping clients maximize the value of their data.
- Provide feedback to product and engineering teams to influence product development and strategy.
- Balance multiple tasks, client engagements, and ongoing learning to stay current with industry trends.
- Manage office hours to educate, demo, and collect feedback from internal clients.
- Coordinate across Product, Engineering, and Architecture teams to implement integrated solutions.
- Create and maintain user documentation and training materials.
- Guide clients in leveraging tools and capabilities to enable data and analytics outcomes.
- Synthesize complex information clearly and precisely.
Required Qualifications, Capabilities, And Skills
- Understanding of statistical models such as regression, tree-based methods, and artificial neural networks.
- Programming skills in at least one language for data analysis (e.g., Python, R, Scala).
- Experience applying data science or quantitative modeling to real-world financial use cases.
- Knowledge of open-source data analysis tools and machine learning libraries.
- Ability to create technical documentation and presentations for technical and non-technical audiences.
- Passion and motivation for continuous learning.
- Comfort with ambiguity and context switching.
- Ability to work at a fast pace and synthesize complex information.
- Strong communication skills.
Preferred Qualifications, Capabilities, And Skills
- Hands-on experience or solid understanding of LLMs, their capabilities, and limitations.
- Experience fine-tuning LLMs for specific tasks and applications.
- Familiarity with GenAI chatbots, summarization services, and GenAI business applications.
- Knowledge of agentic architectures, orchestration patterns, and evaluation approaches.
- Understanding of agentic systems for automating complex tasks and decision-making.
- Knowledge of cloud data science and machine learning services.
- Experience with tools for large-scale and distributed data analysis (e.g., Spark).
Why Join Us?
Be part of a team that empowers innovation and drives impactful solutions across JPMorgan Chase. You’ll have opportunities for career growth, collaboration, and continuous learning in a dynamic environment where your expertise is valued.
About Us
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company.
About The Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.
Product Solutions Associate - GenAI Specialist employer: JPMorganChase
Contact Detail:
JPMorganChase Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Solutions Associate - GenAI Specialist
✨Tip Number 1
Network like a pro! Reach out to people in your field, especially those at JPMorgan Chase. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Prepare for interviews by practising common questions related to data and AI. We recommend using the STAR method to structure your answers – it helps you showcase your skills effectively!
✨Tip Number 3
Show off your passion for continuous learning! Share any recent projects or courses you've completed that relate to GenAI or data analytics. It shows you're proactive and eager to grow.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, you’ll find all the latest roles that match your skills and interests.
We think you need these skills to ace Product Solutions Associate - GenAI Specialist
Some tips for your application 🫡
Show Your Passion for Data and AI: When writing your application, let your enthusiasm for data and AI shine through! We want to see how your curiosity and continuous learning align with our mission at JPMorgan Chase.
Tailor Your Experience: Make sure to highlight your relevant skills and experiences that match the job description. We’re looking for specific examples of how you’ve applied data science or quantitative modelling in real-world scenarios.
Keep It Clear and Concise: Synthesize complex information clearly in your application. We appreciate straightforward communication, so avoid jargon and focus on making your points easy to understand.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensure you’re considered for this exciting opportunity.
How to prepare for a job interview at JPMorganChase
✨Know Your Tech
Make sure you brush up on your knowledge of statistical models and programming languages like Python or R. Be ready to discuss how you've applied these skills in real-world financial scenarios, as this will show your practical understanding of the role.
✨Showcase Your Curiosity
JPMorgan Chase values curiosity and continuous learning. Prepare examples of how you've pursued knowledge in data science or AI, whether through projects, courses, or self-study. This will demonstrate your passion for the field and your commitment to growth.
✨Communicate Clearly
You'll need to synthesize complex information for both technical and non-technical audiences. Practice explaining your past projects or concepts in a straightforward manner. This will help you stand out as someone who can bridge the gap between different teams.
✨Prepare for Collaboration
Since the role involves working with various teams, think of examples where you've successfully collaborated in the past. Highlight your ability to manage multiple tasks and adapt to changing contexts, as this will show you're ready for the fast-paced environment at JPMorgan Chase.
