Data Scientist Associate

JPMorgan Chase & Co. is a leading global financial services firm with over 200 years of history, excelling in investment banking, consumer and small business financial services, commercial banking, financial transaction processing, and asset management. Our Corporate and Investment Bank Strategic Support Team AI Operations is committed to revolutionizing our support systems using AI, Machine Learning, and Large Language Models. We are looking for a Data Scientist to join us in applying advanced analytics and business insights to elevate our technology solutions.

The Corporate Investment Bank SST AI Ops team is dedicated to transforming how we support and manage our environment by harnessing cutting-edge technologies such as AI, ML, and LLM. Our mission is to tackle open-ended challenges by aligning state-of-the-art AI solutions with enterprise-scale demands. We develop software systems, AI models, technological processes, and intelligent frameworks that mitigate technology risks, enhance operational efficiency, and optimize investment efficacy. We are currently seeking a Data Scientist to join our team, tasked with integrating advanced analytical and quantitative techniques with business acumen to enhance our technology solutions portfolio.

Role Overview: 

As a Data Scientist within the Corporate and Investment Banking Securities Services Technology Artificial Intelligence Operations team, you will model complex problems, uncover insights, manipulate terabytes of data, and develop innovative hybrid AI products that address high-impact, large-scale challenges. You will engage in statistical modeling, machine learning, visualization, and storytelling to enhance the operational value of our technological portfolio. Collaborating with software engineers, product managers, and problem owners, you will refine our data analytics tools and proactively address enterprise and Corporate and Investment Banking Security Service issues. Effective communication with both technology and business stakeholders is essential.

Job Qualifications:

Bachelor’s degree in Data Science, Computer Science, or Computer Engineering. Experience in roles such as Data Scientist, Machine Learning Engineer, Software Engineer, or related fields. Experience with MLOps practices for managing the lifecycle of machine learning models, including LLMs. Experience with prompt engineering and parameter-efficient fine-tuning techniques. Expertise with machine learning frameworks and libraries, particularly those that support LLMs (., Hugging Face Transformers, TensorFlow, PyTorch). Understanding of natural language processing (NLP) techniques and concepts, such as tokenization, embeddings, and sequence modeling. Familiarity with pre-trained language models (., GPT, BERT) and techniques for fine-tuning them for specific tasks. Proficient in programming languages such as Python (Java is a plus), Knowledge of database management and SQL. Ability to develop and maintain production-ready code, ensuring high quality through unit testing and code reviews. Experience with cloud and infrastructure deployment using Cloud Foundry Services, AWS Cloud Services, or Microsoft Azure services. Strong communication and storytelling skills to effectively influence non-technical audiences.

At JPMorgan Chase & Co., we value the unique skills of every employee and are committed to building a technology organization that thrives on diversity. We believe that diverse experiences, perspectives, and backgrounds contribute to a better environment for our employees and a superior product for our users and creators. We encourage professional growth and career development, offering competitive benefits and compensation. If you’re eager to advance your career as part of a global technology team tackling significant challenges that impact people and companies worldwide, we want to meet you.