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- Tasks: Design and implement AI workflows to automate complex business processes in finance.
- Company: Join J.P. Morgan, a global leader in financial services with a focus on innovation.
- Benefits: Diverse and inclusive workplace with opportunities for professional growth and development.
- Other info: Collaborative environment with a commitment to continuous learning and innovation.
- Why this job: Make a real impact by applying advanced analytics and machine learning in finance.
- Qualifications: Experience in NLP, LLM, and ML; strong analytical and communication skills required.
The predicted salary is between 80000 - 100000 £ per year.
The candidate must excel in working in a highly collaborative environment together with the business stakeholders, technologists, and control partners to deploy solutions into production. A strong passion for machine learning is essential, along with a commitment to continuous learning, research, and experimentation with new innovations in the field. Candidates should possess a solid understanding of modern NLP and/or financial knowledge, hands‑on implementation experience, strong analytical thinking, and a keen interest in applying advanced analytics to solve complex problems in finance and asset management.
Job Responsibilities
- Design and implement agentic AI workflows that automate and streamline complex business processes.
- Design and apply advanced techniques such as semantic search, retrieval‑augmented generation (RAG), named entity recognition (NER), prompt engineering, and personalization for content extraction, search, question answering, reasoning, and recommendation.
- Develop LLM, NLP, and ML solutions that address client requirements and drive business transformation.
- Work closely with partner teams—incl. Business, Technology, Product Management, Strategy, and Business Management—to deploy and scale developed models in production environments.
- Build comprehensive testing setups to evaluate model performance and ensure efficacy and reliability.
- Communicate results effectively to business stakeholders through written reports, visualizations, and presentations.
- Stay current with the latest research in LLM, agentic AI, ML, and data science, and proactively identify and leverage emerging techniques to drive ongoing enhancement.
Qualifications, Capabilities, and Skills
- Proven experience applying NLP, LLM, and ML techniques to solve high‑impact business problems.
- Demonstrated intellectual curiosity and a passion for staying current with the latest advancements in AI, LLMs, agentic AI frameworks, and data science.
- Proficiency in programming languages such as Python and familiarity with machine learning libraries and frameworks.
- Excellent communication skills and ability to work collaboratively in a fast‑paced, dynamic environment.
- Prior experience in financial services or asset management is desirable, along with a strong interest in applying AI to the financial domain.
Asset Management, Data Scientist, Vice President, London/Glasgow employer: JPMorganChase
Contact Detail:
JPMorganChase Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Asset Management, Data Scientist, Vice President, London/Glasgow
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. The more you engage with others, the better your chances of landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving NLP and machine learning. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with business stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We love seeing passionate candidates who are eager to join our team. Plus, it’s the best way to ensure your application gets noticed.
We think you need these skills to ace Asset Management, Data Scientist, Vice President, London/Glasgow
Some tips for your application 🫡
Show Your Passion for Machine Learning: Make sure to highlight your enthusiasm for machine learning in your application. We love candidates who are eager to learn and experiment with new innovations, so share any relevant projects or experiences that showcase your commitment to this field.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. We want to see how you can contribute to our collaborative environment and tackle complex problems in finance.
Demonstrate Your Analytical Skills: Since this role involves advanced analytics, be sure to include examples of how you've applied analytical thinking in past projects. Whether it's through NLP, LLM, or ML techniques, we want to see how you’ve solved high-impact business problems.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at JPMorganChase
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest NLP, LLM, and ML techniques. Brush up on your programming skills, especially in Python, and be ready to discuss how you've applied these technologies to solve real-world problems in finance.
✨Show Your Collaborative Spirit
Since this role involves working closely with various teams, prepare examples that showcase your ability to collaborate effectively. Think of times when you’ve worked with business stakeholders or technologists to deploy solutions and how you navigated those interactions.
✨Communicate Like a Pro
You’ll need to present complex data and results clearly. Practice explaining your past projects and findings in a way that’s easy to understand for non-technical stakeholders. Use visuals if possible to illustrate your points.
✨Stay Curious and Current
Demonstrate your passion for continuous learning by discussing recent advancements in AI and data science that excite you. Be prepared to share how you keep up with industry trends and how you plan to apply new techniques in your work.