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 methodologies in a dynamic team.
- Qualifications: Experience in NLP, LLM, and ML; proficiency in Python is a plus.
- Other info: Be part of a diverse team that values inclusion and collaboration.
The predicted salary is between 43200 - 72000 £ 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.
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.
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.
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) employer: JPMorganChase
Contact Detail:
JPMorganChase Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist within Asset & Wealth Management (Senior Associate)
✨Tip Number 1
Network like a pro! Reach out to current employees at J.P. Morgan or in the asset and wealth management space. A friendly chat can give us insider info and might even lead to a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data science projects, especially those involving NLP and ML. This will help us demonstrate our expertise and passion during interviews.
✨Tip Number 3
Stay updated on industry trends! Follow the latest research in LLM and ML. Being able to discuss recent advancements can impress interviewers and show that we’re proactive learners.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us that you’re genuinely interested in joining the team at J.P. Morgan.
We think you need these skills to ace Data Scientist within Asset & Wealth Management (Senior Associate)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Scientist role. Highlight your experience with NLP, LLM, and ML techniques, as well as any relevant projects that showcase your ability to solve high-impact business problems.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to enhancing the investment process at JPMAM. Be sure to mention specific methodologies you’re familiar with, like semantic search or prompt engineering.
Showcase Your Communication Skills: Since effective communication is key in this role, make sure to demonstrate your ability to convey complex ideas clearly in your application. Whether it's through your CV, cover letter, or any additional materials, clarity and professionalism will set you apart.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of success. This way, your application goes straight to the right people, and you can easily keep track of your application status!
How to prepare for a job interview at JPMorganChase
✨Know Your Data Science Stuff
Make sure you brush up on your NLP, LLM, and ML techniques. Be ready to discuss how you've applied these methodologies in real-world scenarios, especially in financial contexts. Prepare examples that showcase your problem-solving skills and how you've driven business transformation through data.
✨Show Off Your Communication Skills
Since you'll need to communicate complex results to stakeholders, practice explaining your projects in simple terms. Use visual aids or mock presentations to demonstrate how you can convey insights effectively. This will show that you can bridge the gap between technical and non-technical audiences.
✨Collaborate Like a Pro
Highlight your experience working with cross-functional teams. Be prepared to discuss how you've collaborated with business, technology, and product management teams to deploy models. Share specific instances where teamwork led to successful outcomes, as this role requires strong collaboration.
✨Stay Ahead of the Curve
Research the latest trends in data science, especially those relevant to asset and wealth management. Bring up recent advancements or techniques you've learned about and how they could be applied to the role. This shows your passion for continuous learning and staying current in the field.