2024 Machine Learning Center of Excellence Summer

2 months ago


Canary Wharf, United Kingdom JPMorgan Chase & Co Full time

**JOB 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.

Strategically positioned in the Chief Technology Office, our work spans across all of J.P. Morgan’s lines of business including Corporate & Investment Banking, 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. With this unparalleled access to the firm, this role offers a unique opportunity to explore novel and complex challenges that could profoundly transform how the firm operates.

**What to expect**

**Our Off-Cycle Associate Internship Program** begins in Spring, Summer or Autumn, depending on your academic calendar. Your professional growth and development will be supported throughout the internship program via project work related to your academic and professional interests, mentorship, an engaging speaker series with our senior leaders and more. Your project will have direct impact on JPMorgan’s businesses, will be integrated into our product pipelines, or be part of published research in top AI/ML conferences. Full-time employment offers may be extended upon successful completion of the program within our hybrid work model.

**About you**

We are looking for innovative problem-solvers with a passion for developing solutions that support our global business.

**Key qualifications include**:

- Enrolled in a PhD or MS in a quantitative discipline, e.g., Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, Data Science, or related fields, or equivalent research or industry experience,

Expected graduation date of December 2023 through August 2024
- Solid background in NLP, large language models, speech recognition and modelling, or personalization/recommendation. Familiarity with state-of-the-art practice in these domains
- Proficient in Python, and experience with machine learning and deep learning toolkits (e.g., TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
- Scientific thinking, ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
- Solid written and spoken communication to effectively communicate technical concepts and results to both technical, and business audiences
- Curious, hardworking, detail-oriented and motivated by complex analytical problems
- Ability to work both independently and in highly collaborative team environments

**Beneficial Skills**
- Strong background in Mathematics and Statistics
- Familiarity with the financial services industries
- Published research in areas of natural language processing, deep learning, or reinforcement learning at a major conference or journal
- Ability to develop and debug production-quality code
- Familiarity with continuous integration models and unit test development
- Published research in areas of natural language processing, speech recognition, reinforcement learning, or deep learning at a major conference or journal

**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.

**ABOUT THE TEAM**

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.



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