At a Glance
- Tasks: Lead groundbreaking AI research and collaborate on innovative projects in financial services.
- Company: Join J.P. Morgan's cutting-edge AI Research team with a global presence.
- Benefits: Competitive salary, professional development, and opportunities to publish your work.
- Other info: Dynamic environment with opportunities for significant career growth and collaboration.
- Why this job: Make a real impact in AI while working with top experts in the field.
- Qualifications: PhD or Masters in Computer Science, strong programming skills, and AI/ML expertise.
The predicted salary is between 60000 - 80000 £ per year.
About the Role
The J.P. Morgan AI Research team is dedicated to exploring and advancing cutting-edge research in AI, including Machine Learning and related fields like Cryptography, to generate insights beneficial to J.P. Morgan's clients and businesses. The team, comprising experts across various AI domains, conducts primary research aligned with their pillars and addresses concrete problems in financial services. They collaborate with internal teams to accelerate AI adoption within the firm and partner with leading academic faculty globally. Headquartered in New York with a presence in London and the Bay Area, this role offers unique opportunities for significant impact within J.P. Morgan and the broader AI community.
Responsibilities
- Lead end-to-end research within a specialized focus area.
- Work on multiple research projects in collaboration with internal and external researchers and applied engineering teams.
- Be integral to all aspects of the research lifecycle, including formulating problems, gathering data, generating hypotheses, developing models and algorithms, conducting experiments, synthesizing results, building prototype applications, and communicating research significance.
- Produce high-impact business applications, open-source software, patents, and/or publications in AI/ML conferences and journals.
- Participate in relevant top-tier academic conferences to broaden the impact of contributions.
Preferred Qualifications
- PhD in Computer Science (especially AI/ML) or related fields.
- Research publications in prominent AI/ML venues (e.g., conferences, journals).
- Strong expertise in one or more specialized areas, such as deep learning (DL), Reinforcement learning (RL), planning, information representation and retrieval, graphs, multiagent systems (MAS), or natural language processing (NLP).
- Practical experience with ML platforms such as Tensorflow/Keras, PyTorch.
- Comfort with rapid prototyping and disciplined software development processes.
- Practical software engineering experience in collaborative project settings.
Minimum Requirements
- Masters degree in Computer Science, Statistics, Engineering or related fields.
- Programming skills in Python, Java or C++.
- Proficient understanding of fundamental AI and ML techniques (e.g., A*, regularization).
- Practical experience with statistical data analysis and experimental design.
Professional Skills
- Curiosity, creativity, resourcefulness, and a collaborative spirit.
- Effective verbal and written communication skills with technical and business audiences.
- Demonstrated ability to work on multi-disciplinary teams with diverse backgrounds.
- Interest in problems related to the financial services domain (specific past experience in the domain is not required).
AI Researcher employer: JPMorganChase
J.P. Morgan is an exceptional employer for AI Researchers, offering a dynamic work environment in the heart of New York City, where innovation meets finance. With a strong emphasis on collaboration and professional growth, employees have access to cutting-edge resources and opportunities to publish their research, attend top-tier conferences, and contribute to impactful projects that shape the future of AI in financial services. The company's commitment to fostering a culture of curiosity and creativity ensures that every team member can thrive and make meaningful contributions to both the firm and the broader AI community.
StudySmarter Expert Advice🤫
We think this is how you could land AI Researcher
✨Tip Number 1
Network like a pro! Reach out to people in the AI and finance sectors on LinkedIn or at conferences. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your research projects, models, and any publications. 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 knowledge and problem-solving skills. Be ready to discuss your past projects and how they relate to the role at J.P. Morgan.
✨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!
We think you need these skills to ace AI Researcher
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the AI Researcher role. Highlight your research publications and any relevant projects you've worked on, especially those involving AI/ML techniques.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit for our team. Be specific about your interests in financial services and how you can contribute to our research goals.
Showcase Your Technical Skills:Don’t forget to mention your programming skills and experience with ML platforms like TensorFlow or PyTorch. We want to see how you’ve applied these skills in real-world scenarios, so include examples where possible.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows your enthusiasm for joining our team!
How to prepare for a job interview at JPMorganChase
✨Know Your Research Inside Out
Make sure you’re well-versed in your own research and any relevant projects you've worked on. Be prepared to discuss your methodologies, findings, and how they can apply to the financial services sector. This shows not only your expertise but also your ability to communicate complex ideas clearly.
✨Brush Up on AI/ML Fundamentals
Since the role requires a strong understanding of AI and ML techniques, review key concepts like deep learning, reinforcement learning, and statistical data analysis. Be ready to explain these concepts and how you’ve applied them in past projects, as this will demonstrate your technical proficiency.
✨Showcase Your Collaboration Skills
Highlight your experience working in multi-disciplinary teams. J.P. Morgan values collaboration, so share examples of how you’ve successfully partnered with others, whether in research or software development. This will illustrate your ability to work effectively within their team-oriented environment.
✨Prepare Questions About Their AI Initiatives
Research J.P. Morgan’s current AI projects and initiatives. Prepare thoughtful questions that show your interest in their work and how you can contribute. This not only demonstrates your enthusiasm for the role but also your proactive approach to understanding their business needs.
