At a Glance
- Tasks: Shape the future of data and AI with cutting-edge technologies at JPMorgan Chase.
- Company: Join a global leader in financial services with a focus on innovation.
- Benefits: Opportunities for career growth, collaboration, and continuous learning.
- Why this job: Make a real impact while working with talented teams and driving solutions.
- Qualifications: Understanding of statistical models and programming skills in data analysis.
- Other info: Dynamic environment that values diversity and supports your growth.
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. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.
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 in London employer: JPMorganChase
Contact Detail:
JPMorganChase Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Solutions Associate - GenAI Specialist in London
✨Tip Number 1
Network like a pro! Reach out to current employees at JPMorgan Chase on LinkedIn or through mutual connections. Ask them about their experiences and any tips they might have for landing the Product Solutions Associate role.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Make sure you can discuss statistical models and programming languages confidently. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 3
Show off your passion for continuous learning! Be ready to share examples of how you've kept up with industry trends, especially in data and AI. This will demonstrate your commitment to growth and innovation, which is super important for this role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team and making a difference at JPMorgan Chase.
We think you need these skills to ace Product Solutions Associate - GenAI Specialist in London
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 love seeing how you've applied your programming skills or data science knowledge in real-world scenarios!
Keep It Clear and Concise: We appreciate clarity! Use straightforward language to explain your qualifications and experiences. Remember, you might be communicating complex ideas, so keep it simple for both technical and non-technical audiences.
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 Data and AI Stuff
Make sure you brush up on your understanding of statistical models and programming languages like Python or R. Be ready to discuss how you've applied data science in real-world scenarios, especially in finance. This will show that you can hit the ground running!
✨Show Off Your Communication Skills
Since you'll be creating documentation and training materials, practice explaining complex concepts in simple terms. Think about how you would present your ideas to both technical and non-technical audiences. Clear communication is key!
✨Demonstrate Your Curiosity
JPMorgan Chase values continuous learning, so come prepared to talk about recent trends in data and AI that excite you. Share any courses or projects you've undertaken to stay current, as this shows your passion for the field.
✨Be Ready to Collaborate
This role involves working with various teams, so think of examples where you've successfully collaborated in the past. Highlight your ability to balance multiple tasks and adapt to changing priorities, as this will demonstrate your fit for a fast-paced environment.