At a Glance
- Tasks: Design and implement advanced data science techniques to drive business transformation.
- Company: Join JPMAM, a leader in asset and wealth management with a focus on innovation.
- Benefits: Competitive salary, professional development, and a collaborative work environment.
- Other info: Dynamic team atmosphere with opportunities for continuous learning and growth.
- Why this job: Make a real impact by applying cutting-edge data science in finance.
- Qualifications: Experience in NLP, LLM, and ML; CFA pursuit is a plus.
The predicted salary is between 60000 - 80000 € per year.
JPMAM Data Science is dedicated to enhancing and streamlining every stage of the investment process, from financial analysis and portfolio management to client services and advisory. We analyse extensive collections of data including financial documents, analyst reports, news articles, meeting notes, and client communications to empower data-driven decision making and process automation. We are seeking passionate data scientists who can apply the latest methodologies to generate real-time and actionable insights.
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 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, 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.
- CFA designation or current pursuit of the CFA is highly desirable.
- 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.
- Strong analytical skills with an understanding of financial markets and asset management.
Data Scientist within Asset & Wealth Management (Senior Associate) in Glasgow employer: Jpmorgan Chase & Co.
JPMorgan Asset & Wealth Management is an exceptional employer that fosters a collaborative and innovative work culture, where data scientists are empowered to leverage cutting-edge methodologies to drive impactful solutions in finance. With a strong commitment to employee growth, the company offers continuous learning opportunities and encourages experimentation with the latest advancements in machine learning and data science. Located in a vibrant financial hub, employees benefit from a dynamic environment that promotes teamwork and the sharing of ideas, making it an ideal place for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist within Asset & Wealth Management (Senior Associate) in Glasgow
✨Tip Number 1
Network like a pro! Reach out to professionals in the asset and wealth management space on LinkedIn. Join relevant groups, participate in discussions, and don’t hesitate to ask for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those related to NLP and machine learning. Use platforms like GitHub to share your code and insights. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding of financial markets. Practice common data science interview questions and be ready to discuss your past projects in detail. We want you to shine and show how you can apply your knowledge to real-world problems!
✨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, we love seeing candidates who are proactive about their job search. Let’s get you one step closer to landing that dream role!
We think you need these skills to ace Data Scientist within Asset & Wealth Management (Senior Associate) in Glasgow
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with NLP, LLM, and ML techniques. We want to see how your skills align with the specific responsibilities mentioned in the job description.
Show Your Passion:Let your enthusiasm for data science and machine learning shine through! Share any personal projects or research you've done that relates to finance or asset management. We love seeing candidates who are genuinely excited about the field.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. Use clear language to communicate your achievements and experiences. We appreciate well-structured applications that make it easy for us to see your qualifications.
Apply Through Our Website:Don’t forget to submit your application through our official website! It’s the best way for us to receive your details 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 Jpmorgan Chase & Co.
✨Know Your Data Science Stuff
Make sure you brush up on your knowledge of NLP, LLM, and ML techniques. Be ready to discuss how you've applied these methodologies in real-world scenarios, especially in finance or asset management. Prepare examples that showcase your analytical skills and problem-solving abilities.
✨Collaborate Like a Pro
Since the role requires working closely with various teams, think about past experiences where you collaborated effectively. Be prepared to share how you communicated complex data insights to non-technical stakeholders and how you contributed to team success.
✨Stay Current with Trends
Show your passion for continuous learning by discussing recent advancements in data science, particularly in LLM and machine learning. Mention any relevant research papers or projects you've explored, and be ready to talk about how you can apply these innovations to the role.
✨Communicate Clearly
Practice explaining your technical work in simple terms. You might need to present your findings through reports or visualisations, so think about how you can make complex information accessible. Clear communication is key to impressing your interviewers!
