At a Glance
- Tasks: Dive into advanced machine learning projects that tackle real-world financial challenges.
- Company: Join J.P. Morgan's elite Machine Learning Center of Excellence team.
- Benefits: Gain hands-on experience, mentorship, and exposure to cutting-edge technologies.
- Other info: Collaborative environment with opportunities for innovation and career growth.
- Why this job: Make a significant impact in finance while honing your machine learning skills.
- Qualifications: PhD students or recent graduates in quantitative fields with strong programming skills.
The predicted salary is between 20000 - 30000 £ per year.
Description
The Machine Learning Center of Excellence (MLCOE) is a world-class machine learning team which continually advances state-of-the-art methods to solve a wide range of real-world financial problems using the company’s vast and unique datasets.
As a 2026 Machine Learning Center of Excellence Summer Associate within our dynamic team, you will be given the chance to utilize advanced machine learning techniques across a range of intricate domains such as finance, banking, economics, marketing, natural language processing, reinforcement learning, accounting, operations management,
Job responsibilities
- Create strategically important AI/ML application in the Chief Data & Analytics office.
Our work spans across all of J.
Morgan’s lines of business including Commercial & Investment Bank, Asset Wealth Management, Consumer & Community Banking, and through every part of the organization from front office sales and trading to operations, technology, finance and more.
- Embrace opportunity to explore novel and complex challenges that could profoundly transform how the firm operates.
- Collaborate closely with our MLCOE mentors, business professionals, and technologists, carrying out independent research and providing solutions to the business.
- Demonstrate deep passion for machine learning, robust expertise in deep learning with practical implementation experience, and a dedication to learning, researching, and experimenting with innovations in the field.
- Required qualifications, capabilities and skills
Enrolled in or completed a Ph D in a quantitative discipline (e. g., Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, Data Science, or related fields), or equivalent research/industry experience.
Post-doctoral candidates and career changers are also welcome.
Expected Ph D graduation between December 2026 and August 2027, or already graduated.
- Strong background in programming, mathematics, and statistics , including areas such as Stochastic Calculus, Bayesian techniques, State-Space Models, MCMC, and MCTS.
- Published research in machine learning, science, engineering, quantitative psychology, business, or related fields .
- Knowledge and experience in
Machine Learning and Reinforcement Learning , along with familiarity with state-of-the-art practices and domains such as Finance, Economics, Accounting, Marketing, or Operations Research.
- Proficiency in
- Python and experience with machine learning/deep learning frameworks such as
Tensor Flow, Tensor Flow Probability, and JAX .
- Scientific mindset with the ability to design experiments and training frameworks, and define and evaluate model performance metrics aligned to business objectives.
- Ability to develop, debug, and maintain production-quality code , including familiarity with continuous integration and unit testing practices.
- Strong written and verbal communication skills, with the ability to explain technical concepts and results to both technical and business audiences.
- Innovative, curious, hardworking, detail-oriented, and motivated by solving complex analytical problems; able to work independently and in highly collaborative team environments.
- Familiarity with the financial services industry and relevant certifications such as
CFA, ACCA, PCAP , or other finance, accounting, programming, software engineering, Coursera, or equivalent professional qualifications.
2026 Machine Learning Center of Excellence Summer Associate – Time Series & Reinforcement Learning Internship – (6 months) in London employer: JPMorganChase
JPMorganChase is an exceptional employer, offering a dynamic work environment in Greater London where innovation thrives. With a strong commitment to diversity and inclusion, employees benefit from collaborative agile teams, extensive professional development opportunities, and the chance to work on cutting-edge technology products that shape the future of finance. Join us to be part of a culture that values your contributions and supports your growth.
StudySmarter Expert Advice🤫
We think this is how you could land 2026 Machine Learning Center of Excellence Summer Associate – Time Series & Reinforcement Learning Internship – (6 months) in London
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace 2026 Machine Learning Center of Excellence Summer Associate – Time Series & Reinforcement Learning Internship – (6 months) in London
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at JPMorganChase will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at JPMorganChase
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress JPMorganChase.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show JPMorganChase that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
