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For Companies At a Glance
- Tasks: Design and implement AI workflows to revolutionise finance and asset management.
- Company: Join J.P. Morgan, a global leader in financial services with a focus on innovation.
- Benefits: Competitive salary, diverse work environment, and opportunities for continuous learning.
- Other info: Collaborative team culture with excellent career growth potential.
- Why this job: Make a real impact by applying cutting-edge AI techniques in finance.
- Qualifications: Experience in NLP, ML, and a passion for AI in finance is essential.
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 – including 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: hackajob
Contact Detail:
hackajob 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 current employees at J.P. Morgan on LinkedIn or through industry events. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your projects related to NLP, ML, and AI. We want to see how you’ve tackled complex problems in finance – it’s all about demonstrating your expertise!
✨Tip Number 3
Ace the interview! Research common interview questions for data scientists and practice your responses. We need to convey our passion for machine learning and our collaborative spirit – let’s make it shine!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CVs and cover letters to match what J.P. Morgan is looking for – let’s make it count!
We think you need these skills to ace Asset Management, Data Scientist, Vice President, London/Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in NLP, ML, and any relevant financial knowledge to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about machine learning and how you can contribute to our team. Share specific examples of your past work that align with the role.
Showcase Your Projects: If you've worked on any projects involving AI, LLM, or data science, make sure to include them! We love seeing hands-on experience and innovative solutions you've developed.
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at hackajob
✨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.
✨Show Your Collaborative Spirit
Since this role involves working closely with various teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight your ability to communicate complex ideas clearly and work effectively in a fast-paced environment.
✨Stay Ahead of the Curve
Demonstrate your passion for continuous learning by discussing recent advancements in AI and data science that excite you. This shows your intellectual curiosity and commitment to staying current in the field.
✨Prepare for Practical Scenarios
Expect to tackle case studies or practical scenarios during the interview. Practice explaining your thought process for designing AI workflows or evaluating model performance, as this will showcase your analytical thinking and problem-solving skills.