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For Companies At a Glance
- Tasks: Design and implement advanced data science techniques to drive business transformation.
- 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 professional growth.
- Why this job: Make a real impact by applying cutting-edge data science in finance.
- Qualifications: Experience in NLP, ML, and strong analytical skills required.
- Other info: Collaborative team culture with a commitment to diversity and inclusion.
The predicted salary is between 36000 - 60000 £ 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.
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
- 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.
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
J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.
Data Scientist within Asset & Wealth Management (Senior Associate) in Glasgow employer: hackajob
Contact Detail:
hackajob Recruiting Team
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 current employees at J.P. Morgan or in the asset and wealth management space. Use LinkedIn to connect, ask questions, and get insights about the company culture and the role.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Be ready to discuss your experience with NLP, ML, and LLM techniques. Practice explaining complex concepts in simple terms, as communication is key in collaborative environments.
✨Tip Number 3
Show your passion for continuous learning! Mention any recent projects or research you've done related to data science or finance. This will demonstrate your commitment to staying ahead in the field and your eagerness to contribute to J.P. Morgan's innovative environment.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re serious about joining the team and are familiar with their processes.
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 CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with NLP, ML, and any relevant financial knowledge. We want to see how your skills align with what J.P. Morgan is looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for data science and how you can contribute to the team. Don’t forget to mention your collaborative spirit and commitment to continuous learning.
Showcase Your Projects: If you've worked on any projects involving machine learning or data analysis, make sure to include them. We love seeing real-world applications of your skills, especially those that demonstrate your problem-solving abilities in finance.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensure it gets the attention it deserves!
How to prepare for a job interview at hackajob
✨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 thinking and problem-solving skills.
✨Collaborate Like a Pro
Since this role involves working closely with various teams, practice articulating how you’ve successfully collaborated in the past. Think about specific projects where you partnered with business stakeholders or technologists, and be prepared to share how you navigated challenges together.
✨Communicate Clearly
Effective communication is key! Prepare to explain complex data science concepts in simple terms. You might need to present your findings through reports or visualisations, so think about how you can make your insights accessible and engaging for non-technical stakeholders.
✨Stay Ahead of the Curve
Show your passion for continuous learning by discussing recent advancements in data science that excite you. Be ready to talk about any new techniques or tools you’ve experimented with, and how they could potentially benefit J.P. Morgan’s investment processes.
