Senior Associate AI Researcher - Natural Language Processing
Senior Associate AI Researcher - Natural Language Processing

Senior Associate AI Researcher - Natural Language Processing

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Conduct cutting-edge AI research in Natural Language Processing and collaborate on impactful projects.
  • Company: Join J.P. Morgan, a global leader in financial services, known for innovation and excellence.
  • Benefits: Enjoy a diverse workplace with opportunities for remote work and professional growth.
  • Why this job: Make a real impact in AI research while collaborating with experts across the globe.
  • Qualifications: PhD or MS in Computer Science with experience in NLP and strong programming skills required.
  • Other info: Be part of a team that values diversity and inclusion, fostering a supportive work environment.

The predicted salary is between 43200 - 72000 £ per year.

Join JPMorgan Chase's Chief Data & Analytics Office (CDAO) as an AI Research Scientist - Senior Associate, where you'll accelerate the firm's data and analytics journey. Conduct cutting-edge AI research, including ML and related fields, to impact clients and businesses. Collaborate with experts across New York, London, Madrid, Paris, and the Bay Area to explore and advance AI research in financial services.

As an AI Research Scientist - Senior Associate within JPMorgan Chase's Chief Data & Analytics Office (CDAO), you will conduct end-to-end research within specialized focus areas like Natural Language Processing (NLP). You will collaborate on multiple research projects with internal and external researchers and applied engineering teams. Your output will result in high-impact business applications, open-source software, patents, and publications in AI/ML conferences and journals.

Job Responsibilities:

  • Conduct end-to-end research typically within Natural Language Processing (NLP).
  • Collaborate with internal and external researchers and applied engineering teams.
  • Engage in 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 outputs that lead to high-impact business applications, open-source software, patents, and publications in top AI/ML conferences and journals.
  • Participate in relevant top-tier academic conferences to broaden the impact of your contributions.

Required Qualifications, Capabilities, and Skills:

  • PhD in Computer Science or related field, or an MS with commercial experience in the field.
  • Research publications in prominent NLP venues (e.g., conferences, journals).
  • Strong expertise in one or more specialized areas of relevance (e.g., LLM-based reasoning, foundational models, multimodal document analytics, knowledge representation, natural language processing and understanding).
  • Experience in NLP/ML platforms such as TensorFlow/Keras, PyTorch, AWS, Hugging Face, etc.
  • Proficiency with rapid prototyping and disciplined software development processes.
  • Expertise in software engineering within collaborative project settings.

Preferred Qualifications, Capabilities, and Skills:

  • Extensive programming skills in Python, Java, or C++.
  • Interest in problems related to the financial services domain (specific past experience in the domain is not required).

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.

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.

Senior Associate AI Researcher - Natural Language Processing employer: JPMorgan Chase & Co.

J.P. Morgan is an exceptional employer, offering a dynamic work environment where innovation thrives and collaboration is key. As a Senior Associate AI Researcher in Natural Language Processing, you will engage in groundbreaking research that directly impacts the financial services sector, while benefiting from a culture that prioritises diversity, inclusion, and professional growth. With access to top-tier academic conferences and a commitment to employee development, J.P. Morgan provides a unique opportunity to contribute to high-impact projects alongside leading experts across global locations.
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Contact Detail:

JPMorgan Chase & Co. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Associate AI Researcher - Natural Language Processing

✨Tip Number 1

Familiarise yourself with the latest trends and advancements in Natural Language Processing (NLP). This will not only help you during interviews but also demonstrate your genuine interest and expertise in the field.

✨Tip Number 2

Engage with the AI research community by attending relevant conferences or webinars. Networking with professionals in the field can provide valuable insights and potentially lead to referrals for the position.

✨Tip Number 3

Showcase your collaborative skills by discussing past projects where you worked with cross-functional teams. Highlighting your ability to communicate effectively with both researchers and engineers will set you apart.

✨Tip Number 4

Prepare to discuss your research publications in detail, especially those related to NLP. Being able to articulate the significance of your work and its impact on the field will impress interviewers.

We think you need these skills to ace Senior Associate AI Researcher - Natural Language Processing

Natural Language Processing (NLP)
Machine Learning (ML)
Research Methodology
Data Gathering and Analysis
Model Development
Algorithm Design
Experimentation Skills
Prototyping
Software Development Processes
Collaboration in Research Settings
Programming in Python, Java, or C++
Experience with NLP/ML Platforms (e.g., TensorFlow/Keras, PyTorch, AWS, Hugging Face)
Publication in AI/ML Conferences and Journals
Knowledge Representation
Multimodal Document Analytics

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your relevant experience in Natural Language Processing and AI research. Include specific projects, publications, and technologies you've worked with that align with the job description.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI research and your understanding of its applications in financial services. Mention any collaborations or significant contributions to the field that demonstrate your expertise.

Highlight Research Publications: List your research publications in prominent NLP venues clearly in your application. This will help demonstrate your credibility and expertise in the field, which is crucial for this role.

Showcase Technical Skills: Emphasise your programming skills and experience with NLP/ML platforms like TensorFlow, PyTorch, or AWS. Provide examples of how you've used these tools in past projects to solve complex problems.

How to prepare for a job interview at JPMorgan Chase & Co.

✨Showcase Your Research Experience

Be prepared to discuss your previous research projects in detail, especially those related to Natural Language Processing. Highlight any publications or presentations you've made at conferences, as this demonstrates your expertise and commitment to the field.

✨Demonstrate Technical Proficiency

Familiarise yourself with the NLP/ML platforms mentioned in the job description, such as TensorFlow, PyTorch, and Hugging Face. Be ready to discuss your experience with these tools and how you've used them in past projects.

✨Understand the Financial Services Context

While specific experience in financial services isn't required, having a basic understanding of how AI and NLP can be applied in this sector will set you apart. Research current trends and challenges in financial services to show your interest and initiative.

✨Prepare for Collaborative Scenarios

Since collaboration is key in this role, think of examples from your past where you've successfully worked in teams. Be ready to discuss how you handle differing opinions and contribute to group problem-solving.

Senior Associate AI Researcher - Natural Language Processing
JPMorgan Chase & Co.
J
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