Risk Management-Gen AI- Lead Data Scientist- Vice Preseident

Are you looking for an exciting opportunity to solve large-scale business problems using Generative AI? Join our dynamic team to tackle these challenges as part of the Wholesale Credit Risk Quantitative Research - Applied AI/ML team.

You will develop innovative AI solutions leveraging the firm's extensive data resources, focusing on creating tools based on Large Language Models (LLMs) to enhance the End-to-End credit risk process across Wholesale.

This role offers a unique chance to innovate and make a significant impact in credit risk management.

If you are passionate about AI and eager to work on cutting-edge solutions, we encourage you to apply.

As a Gen AI Data Scientist in the Wholesale Credit Risk Quantitative Research - Applied AI/ML team, you will develop AI solutions to address business challenges and enhance the credit risk process.

You will collaborate with cross-functional teams to translate requirements into technical solutions and manage the full lifecycle from Proof of Concept to production-ready solutions.

Your work will ensure the performance and reliability of deployed solutions, staying informed on the latest AI/ML advancements.

Job Responsibilities


* Develop and implement AI solutions to address business challenges.


* Collaborate with cross-functional teams to translate requirements into technical solutions.


* Formulate risk strategies to enhance risk monitoring using diverse data sources.


* Manage the full lifecycle from Proof of Concept to production-ready solutions, including stakeholder presentations and post-implementation monitoring.


* Ensure the performance and reliability of deployed solutions.


* Stay informed on the latest AI/ML advancements.


* Lead the development and rapid deployment of AI solutions influenced by macro-economic factors and current events.

Required qualifications, capabilities, and skills


* Advanced degree in Data Science, Computer Science, Engineering, Mathematics, or Statistics.


* Minimum of 5 years of experience in applied AI/ML.


* Strong understanding and practical experience with Machine Learning; expertise in LLM/NLP.


* Proficiency in modern analytic and data tools, especially Python/Anaconda, TensorFlow, Keras/PyTorch, Spark, and SQL.


* Experience in model implementation and production deployment.


* Excellent problem-solving, communication, and teamwork skills.

Preferred qualifications, capabilities, and skills


* Cloud experience.


* Background in financial services.

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 managem...