At JPMorgan Chase, we are reimagining software engineering itself - by building an AI-Native SDLC Agent Fabric, a next generated ecosystem of autonomous, collaborative agents that transform every phase of the software delivery lifecycle

As a Data Scientist Lead within the team at JPMorgan, you will collaborate within Asset and Wealth Management and functions to deliver software solutions. You will have opportunity to research, experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant business impact. You will also design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to promote and optimize business results.

Job responsibilities:

- Design, deploy and manage prompt-based models on LLMs for various NLP tasks in the financial services domain

- Conduct research on prompt engineering techniques to improve the performance of prompt-based models within the financial services field, exploring and utilizing LLM orchestration and agentic AI libraries.

- Collaborate with cross-functional teams to identify requirements and develop solutions to meet business needs within the organization

- Communicate effectively with both technical and non-technical stakeholders

- Build and maintain data pipelines and data processing workflows for prompt engineering on LLMs utilizing cloud services for scalability and efficiency.

- Develop and maintain tools and framework for prompt-based model training, evaluation and optimization

- Analyze and interpret data to evaluate model performance to identify areas of improvement

Required qualifications, capabilities, and skills:

- Formal training or certification on software engineering concepts and 5+ years applied experience

- Experience with prompt design and implementation or chatbot application

- Strong programming skills in Python with experience in PyTorch or TensorFlow

- Experience building data pipelines for both structured and unstructured data processing.

- Experience in developing APIs and integrating NLP or LLM models into software applications

- Hands-on experience with cloud platforms (AWS or Azure) for AI/ML deployment and data processing.

- Excellent problem-solving and the ability to communicate ideas and results to stakeholders and leadership in a clear and concise manner

- Basic knowledge of deployment processes, including experience with GIT and version control systems

- Familiarity with LLM orchestration and agentic AI libraries

- Hands on experience with MLOps tools and practices, ensuring seamless integration of machine learning models into production environment

Preferred qualifications, capabilities, and skills

- Familiarity with model fine-tuning techniques such as DPO and RLHF.

- Knowledge of Java, Spark

- Knowledge of financial products and services including trading, investment and risk management

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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.

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