Description

Job summary:

J.P. Morgan Compliance, Conduct, and Operational Risk (CCOR) Data Science function is at the forefront of developing innovative AI and ML solutions to enhance risk management and compliance processes. Our team leverages advanced analytics, AI, Machine learning technologies, including Large Language Models (LLMs), to transform how we manage compliance, conduct, and operational risks across the organization.

Join our CCOR Data Science team as an Associate - Data Science, where you will play a crucial role in developing AI/ML solutions to enhance compliance and risk management. Your primary responsibilities will include leveraging advance AI / ML techniques, LLMs and Agentic AI to develop and deploy models for various tasks such as anomaly detection, risk assessment, and compliance monitoring. You will work with diverse datasets to improve our risk management processes and ensure regulatory compliance. As part of a leading analytics community, you will have opportunities for skill development and career growth in AI, machine learning, and data science.

Job responsibilities:

• Design, deploy, and manage AI/ML models, leverages advance AI/ML techniques, LLMs and Agentic AI for developing compliance and risk management related solution.
• Conduct research on AI techniques to enhance model performance in the compliance and risk domains.
• Collaborate with cross-functional teams to identify requirements, develop solutions, and deploy models in the production system.
• Communicate technical concepts effectively to both technical and non-technical stakeholders.
• Develop and maintain tools and frameworks for model training, evaluation, and optimization.
• Analyze and interpret data to evaluate model performance and identify areas for improvement.

Required qualifications, capabilities, and skills:

• Master's degree in quantitative discipline or an MBA with an undergraduate degree in areas such as Computer Science, Statistics, Economics, Mathematics etc. from top tier Universities.
• Minimum of 2 years of relevant experience in developing AI/ML solutions, with recent exposure to LLMs and Agentic AI.
• Programming skills in Python, with experience in frameworks like PyTorch or TensorFlow.
• Thorough knowledge of machine learning concepts, including transformers and language modeling.
• Experience in data pre-processing, feature engineering, and data analysis.
• Excellent problem-solving skills and the ability to communicate ideas and results clearly.
• Familiarity with data structures and algorithms for effective problem-solving in machine learning workflows.

About Us

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.

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.