2023 AI & Data Science Associate Program – Off-Cycle Internship – Hong Kong
|Published||February 20, 2023|
|Location||Hong Kong, Hong Kong|
Delivering excellence at the intersection of data science, research and industry expertise, our AI and Data Science teams go beyond where any bank has gone before. We ask the questions and find the answers to create solutions and technology that help to solve the world's most pressing financial problems, and improve and protect our customer and client experiences every day. Whether you’re working with artificial intelligence, blockchain technology, big data, machine learning or robotics, our entrepreneurial team environment challenges you to push the limits of your expertise in the pursuit of impactful and commercial real world applications.
What to expect
Our Off-Cycle Associate Internship Program begins in Spring, Summer or Autumn, depending on your academic schedule. Your professional growth and development will be supported throughout the internship program via project work related to your academic and professional interests, mentorship, engaging speaker series with senior leaders and more. Full-time employment offers may be extended upon successful completion of the program.
Our AI and Data Science teams work closely together, whether exploring cutting-edge research in partnership with leading academic institutions, applying the latest Machine Learning techniques to J.P. Morgan’s unique data assets, or collaborating directly with traders and salespeople to drive the data-led transformation of our businesses.
Our areas of focus include Deep Learning, Reinforcement Learning, Natural Language Processing, Speech/Voice Analytics, Time Series, Computer Vision, Cryptography, Explainability and Interpretability, and Ethics and Fairness of AI.
We are looking for innovative problem-solvers with a passion for developing complex solutions that support our
Key qualifications include:
- Enrolled in a Ph.D. or 18-24-month Master’s* degree program in math, science, engineering, computer science or other quantitative fields
- Knowledge of machine learning / data science theory, techniques and tools
- Programming experience with one or more of Python, Matlab, C++, Java, C#
- Excellent analytical, quantitative and problem solving skills and demonstrated research ability
- Strong communication skills and the ability to present findings to a non-technical audience
- No prior experience in financial markets required
Desirable skills include:
- Experience with big-data technologies such as Hadoop, Tensorflow, Spark, SparkML, et al.
- Knowledge in Reinforcement Learning or Meta Learning
At JPMorgan Chase, we’re creating positive change for the diverse communities we serve. We do this by championing your innovative ideas through a supportive culture that helps you every step of the way as you build your career. If you’re passionate, curious and ready to make an impact, we’re looking for you.
Please click here to complete the online application.
We will review internship applications as they are received and extend offers on a rolling basis. We strongly encourage that you apply early as programs will close as positions are filled.
JPMorgan Chase is committed to creating an inclusive work environment that respects all people for their unique skills, backgrounds and professional experiences. We strive to hire qualified, diverse candidates, and we will provide reasonable accommodations for known disabilities.
Visit jpmorganchase.com/careers for upcoming events, career advice, our locations and more.
©2022 JPMorgan Chase & Co. JPMorgan Chase is an equal opportunity and affirmative action employer Disability/Veteran
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. In accordance with applicable law, we make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as any mental health or physical disability needs.