At a Glance
- Tasks: Apply advanced NLP and AI to tackle real-world investment challenges.
- Company: Join J.P. Morgan, a global leader in financial services.
- Benefits: Gain hands-on experience, mentorship, and networking opportunities.
- Why this job: Make a meaningful impact on investment decisions with cutting-edge technology.
- Qualifications: Advanced degree in Data Science or related field; NLP experience required.
- Other info: Diverse and inclusive workplace with excellent career growth potential.
The predicted salary is between 30000 - 50000 £ per year.
JOB DESCRIPTION
Are you passionate about applying advanced NLP and AI methodologies to real-world investment challenges? Join our Data Science team and help transform how investors make decisions by generating actionable insights from large-scale financial data. This is your opportunity to work with cutting-edge technology, collaborate with industry experts, and make a meaningful impact on our investment platform.
As an Asset Management Investment Platform Data Scientist – Summer Associate in the Asset Management Data Science team, you will use your expertise in NLP and large language models to develop business-centric products that enhance investment processes, improve client experiences, and streamline operations. You will work closely with investors and portfolio managers to extract vital insights from financial reports, analyst notes, and client communications, empowering data-driven decision making and process automation.
Job responsibilities
- Develop technical solutions utilizing large language models for content extraction, search, question answering, reasoning, and recommendation.
- Build comprehensive testing setups to evaluate model performance and ensure efficacy and reliability.
- Collaborate with engineering teams to deliver high-quality, scalable solutions.
- Study scientific articles and research papers to identify emerging techniques and discover new approaches.
Required qualifications, capabilities, and skills
- Advanced degree in Data Science, Computer Science, or Machine Learning.
- Proven experience in natural language processing and working with large language models.
- 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. Visit our FAQs for more information about requesting an accommodation.
2026 Asset Management Data Scientist - Summer Assoicate employer: JPMorganChase
Contact Detail:
JPMorganChase Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land 2026 Asset Management Data Scientist - Summer Assoicate
✨Tip Number 1
Network like a pro! Reach out to current or former employees on LinkedIn, especially those in the Data Science team. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! If you’ve worked on any projects involving NLP or large language models, be ready to discuss them in detail. Bring examples that highlight your problem-solving abilities and how they relate to investment challenges.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and machine learning frameworks. Practice coding challenges and be ready to explain your thought process clearly—communication is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at J.P. Morgan.
We think you need these skills to ace 2026 Asset Management Data Scientist - Summer Assoicate
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your enthusiasm for NLP and AI shine through! We want to see how excited you are about tackling real-world investment challenges and making a difference in the financial sector.
Tailor Your Experience: Make sure to highlight your relevant experience with large language models and NLP. We love seeing how your skills align with our needs, so don’t be shy about showcasing your projects or any cool tech you've worked on!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Remember, we’re looking for strong communication skills, so make every word count!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at JPMorganChase
✨Know Your NLP Inside Out
Make sure you brush up on your natural language processing knowledge. Be ready to discuss specific methodologies you've used and how they can be applied to investment challenges. Prepare examples of projects where you've successfully implemented NLP techniques.
✨Showcase Your Programming Skills
Since proficiency in Python is key, practice coding problems that involve data manipulation and model evaluation. Be prepared to demonstrate your familiarity with machine learning libraries during the interview, as this will show your technical prowess.
✨Understand the Financial Landscape
Familiarise yourself with current trends in asset management and financial markets. Being able to discuss how your data science skills can enhance investment processes will set you apart. Research recent developments in the industry to bring insightful perspectives to the conversation.
✨Communicate Clearly and Collaboratively
Since excellent communication is crucial, practice explaining complex concepts in simple terms. Think about how you can demonstrate your ability to work collaboratively with investors and portfolio managers, as this will highlight your teamwork skills and adaptability.